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Shehwani

@KirtikaKataria

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5,0
6

4,1

4,1

100%

Data Analyst | SPSS, Python, R, Excel Expert

$15 USD / Stunde

・

Flagge von

Pakistan (3:35 PM)

・

Joined on September 30, 2024

・

2 Empfehlungen

$15 USD / Stunde

・

Hi, I am Shehwani, expert at turning raw data into actionable insights, meaningful reports, and automated solutions that drive smarter business decisions. With 6+ years of experience in data analysis and automation, I specialize in SPSS (descriptive & inferential analysis, hypothesis testing, correlation, regression), Python & R for data manipulation, analysis, and automation, and Excel (VBA, macros, advanced formulas). I empower businesses to make data-driven decisions efficiently, accurately, and confidently. 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐓𝐨𝐨𝐥𝐬: ◾ Data Analysis: SPSS, Python (pandas, NumPy), R (tidyverse, dplyr, ggplot2) ◾ Automation & Reporting: Excel Expert (VBA, Macros), Python scripts, R programming ◾ Visualization & Dashboards: Excel, Power BI, Tableau ◾ Statistical Expertise: Descriptive & inferential statistics, hypothesis testing, regression, correlation, ANOVA, etc. 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐎𝐟𝐟𝐞𝐫: ◾ Data Cleaning, Wrangling & Transformation ◾ Statistical Analysis & Hypothesis Testing (SPSS, R, Python) ◾ Regression, Correlation, and Predictive Analytics ◾ Excel Automation: VBA, Macros, Advanced Formulas ◾ Custom Dashboards & Interactive Reports 𝐖𝐡𝐲 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞: 🧠 Proven expertise in SPSS, Python, R & Excel 📊 Skilled in delivering accurate, actionable insights ⚙️ Automation of repetitive tasks to save time & reduce errors 🤝 Client-focused approach with 100% satisfaction 📞 Connect today, and let’s unlock the power of your data! Best Regards, Shehwani

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Freelancer Data Analysts Pakistan
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Portfolio

Portfolio

13754908
I use Python for data analysis, modelling, and automation across diverse datasets. My work includes data cleaning and manipulation using pandas and NumPy, exploratory data analysis, and statistical analysis using SciPy and statsmodels. I build analytical and predictive models, visualise results using Matplotlib and Seaborn, and automate analytical workflows with reusable scripts and notebooks. These Python-based solutions enable efficient analysis, reproducible results, and data-driven decision-making.

Python Based Data Analysis

I use Python for data analysis, modelling, and automation across diverse datasets. My work includes data cleaning and manipulation using pandas and NumPy, exploratory data analysis, and statistical analysis using SciPy and statsmodels. I build analytical and predictive models, visualise results using Matplotlib and Seaborn, and automate analytical workflows with reusable scripts and notebooks. These Python-based solutions enable efficient analysis, reproducible results, and data-driven decision-making.

Python Based Data Analysis

I use Python for data analysis, modelling, and automation across diverse datasets. My work includes data cleaning and manipulation using pandas and NumPy, exploratory data analysis, and statistical analysis using SciPy and statsmodels. I build analytical and predictive models, visualise results using Matplotlib and Seaborn, and automate analytical workflows with reusable scripts and notebooks. These Python-based solutions enable efficient analysis, reproducible results, and data-driven decision-making.

Python Based Data Analysis

13754911
I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

13754916
I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

13754913
I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

13766089
I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

13766091
I use Microsoft Power BI for data modeling, analysis, and interactive reporting across complex datasets. My work includes connecting to multiple data sources, cleaning and transforming data using Power Query, and building optimized data models with proper relationships and calculated columns. I write DAX measures to perform advanced calculations, time-intelligence analysis, and KPI tracking. I design interactive dashboards and reports using visuals, slicers, and filters, ensuring clarity, performance, and usability. These solutions enable stakeholders to explore data independently and support informed, data-driven decision-making.

Power BI.

I use Microsoft Power BI for data modeling, analysis, and interactive reporting across complex datasets. My work includes connecting to multiple data sources, cleaning and transforming data using Power Query, and building optimized data models with proper relationships and calculated columns. I write DAX measures to perform advanced calculations, time-intelligence analysis, and KPI tracking. I design interactive dashboards and reports using visuals, slicers, and filters, ensuring clarity, performance, and usability. These solutions enable stakeholders to explore data independently and support informed, data-driven decision-making.

Power BI.

I use Microsoft Power BI for data modeling, analysis, and interactive reporting across complex datasets. My work includes connecting to multiple data sources, cleaning and transforming data using Power Query, and building optimized data models with proper relationships and calculated columns. I write DAX measures to perform advanced calculations, time-intelligence analysis, and KPI tracking. I design interactive dashboards and reports using visuals, slicers, and filters, ensuring clarity, performance, and usability. These solutions enable stakeholders to explore data independently and support informed, data-driven decision-making.

Power BI.

13754908
I use Python for data analysis, modelling, and automation across diverse datasets. My work includes data cleaning and manipulation using pandas and NumPy, exploratory data analysis, and statistical analysis using SciPy and statsmodels. I build analytical and predictive models, visualise results using Matplotlib and Seaborn, and automate analytical workflows with reusable scripts and notebooks. These Python-based solutions enable efficient analysis, reproducible results, and data-driven decision-making.

Python Based Data Analysis

I use Python for data analysis, modelling, and automation across diverse datasets. My work includes data cleaning and manipulation using pandas and NumPy, exploratory data analysis, and statistical analysis using SciPy and statsmodels. I build analytical and predictive models, visualise results using Matplotlib and Seaborn, and automate analytical workflows with reusable scripts and notebooks. These Python-based solutions enable efficient analysis, reproducible results, and data-driven decision-making.

Python Based Data Analysis

I use Python for data analysis, modelling, and automation across diverse datasets. My work includes data cleaning and manipulation using pandas and NumPy, exploratory data analysis, and statistical analysis using SciPy and statsmodels. I build analytical and predictive models, visualise results using Matplotlib and Seaborn, and automate analytical workflows with reusable scripts and notebooks. These Python-based solutions enable efficient analysis, reproducible results, and data-driven decision-making.

Python Based Data Analysis

13754911
I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

I perform regression and correlation analysis to identify, quantify, and interpret relationships between variables within complex datasets. My work includes exploratory analysis, correlation assessment, and building regression models such as simple and multiple linear regression, logistic regression, and polynomial regression. I evaluate model assumptions, statistical significance, and goodness-of-fit using appropriate diagnostics and metrics, and interpret coefficients to derive actionable insights. These analyses support hypothesis testing, forecasting, and evidence-based, data-driven decision-making.

Regression and Correlation Analysis

13754916
I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

I use Microsoft Excel for structured data analysis, reporting, and automation within analytical workflows. My work includes advanced use of Pivot-tables, Power Query, and Power Pivot for data cleaning, transformation, and data modelling across multiple sources. I apply advanced formulas such as XLOOKUP, INDEX-MATCH, dynamic array formulas, and conditional logic to perform calculations, validation, and reconciliation. I also build dynamic dashboards using charts, slicers, and data validation, and automate repetitive tasks with VBA where required. These solutions enable accurate analysis, efficient reporting, and data-driven decision-making.

Excel

13754913
I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

I use R programming for statistical analysis, data manipulation, and advanced analytics across diverse datasets. My work includes data cleaning and transformation using tidy-verse packages, exploratory data analysis, and statistical modelling using regression, classification, and time-series techniques. I apply hypothesis testing and inferential statistics to validate insights, create high-quality visualisations with ggplot2, and build reproducible analytical workflows using scripts and R Markdown. These solutions support robust analysis, clear communication of results, and data-driven decision-making.

R Programming

13766089
I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

I use machine learning techniques to analyse, model, and extract insights from structured and unstructured data. My work includes data preprocessing and feature engineering, training and evaluating models such as linear and logistic regression, decision trees, random forests, gradient boosting, and clustering algorithms, and optimising performance through hyper-parameter tuning and cross-validation. I apply statistical and mathematical foundations to interpret model outputs and assess accuracy, bias, and generalisation using appropriate evaluation metrics. I also build end-to-end ML pipelines for experimentation and deployment, visualise results to communicate findings clearly, and integrate models into analytical workflows to support data-driven decision-making.

Machine Learning

13766091
I use Microsoft Power BI for data modeling, analysis, and interactive reporting across complex datasets. My work includes connecting to multiple data sources, cleaning and transforming data using Power Query, and building optimized data models with proper relationships and calculated columns. I write DAX measures to perform advanced calculations, time-intelligence analysis, and KPI tracking. I design interactive dashboards and reports using visuals, slicers, and filters, ensuring clarity, performance, and usability. These solutions enable stakeholders to explore data independently and support informed, data-driven decision-making.

Power BI.

I use Microsoft Power BI for data modeling, analysis, and interactive reporting across complex datasets. My work includes connecting to multiple data sources, cleaning and transforming data using Power Query, and building optimized data models with proper relationships and calculated columns. I write DAX measures to perform advanced calculations, time-intelligence analysis, and KPI tracking. I design interactive dashboards and reports using visuals, slicers, and filters, ensuring clarity, performance, and usability. These solutions enable stakeholders to explore data independently and support informed, data-driven decision-making.

Power BI.

I use Microsoft Power BI for data modeling, analysis, and interactive reporting across complex datasets. My work includes connecting to multiple data sources, cleaning and transforming data using Power Query, and building optimized data models with proper relationships and calculated columns. I write DAX measures to perform advanced calculations, time-intelligence analysis, and KPI tracking. I design interactive dashboards and reports using visuals, slicers, and filters, ensuring clarity, performance, and usability. These solutions enable stakeholders to explore data independently and support informed, data-driven decision-making.

Power BI.

5.0 · 6 Rezensionen
Bewertungen
L

Automated Power BI Maintenance Dashboard • $200 USD

Shehwani, created a professional and fully automated Excel dashboard for me using VBA. The reports update automatically, charts refresh instantly, and everything runs smoothly without manual intervention. Her work was clean, well-structured, and delivered on time. She clearly understands automation, and dynamic reporting. Highly recommended for anyone needing advanced Excel and VBA solutions.

Lovell N.

@LOVELLN

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Flagge von

Khobar, Saudi Arabia

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vor 12 Tagen

Teilen

D

Excel-Based KPI Monitoring System Development • £75 GBP

Great experience. Delivered a professional, automated KPI dashboard with clean data, clear KPIs, and interactive Excel visuals. Highly reliable and skilled.

Daniel M.

@danielm0567

•

Flagge von

Derby, United Kingdom

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vor 22 Tagen

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A

Sales & Ops Data Analysis (Excel/Python) • $450 USD

She demonstrated strong data analysis skills and excellent proficiency in Excel, delivering accurate, well-structured results. Her attention to detail and ability to interpret data added real value to the project. Highly recommended!

Aisha .

@aishaa008

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Flagge von

Abu Dhabi, United Arab Emirates

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vor 26 Tagen

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M

Formating • $60 USD

It was great working with her!!! [26 November, 2025] Easy to work with!!!

Michael B.

@michaelb400

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Flagge von

Winter Garden, United States

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vor 3 Monaten

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Avatar des Nutzers

Social Media Campaign for Brand • £120 GBP

Working with Shehwani Freelancer has been an exceptional experience. Their professionalism, attention to detail, and commitment to delivering high-quality results truly set them apart. From the initial communication to the final delivery, everything was handled with remarkable efficiency and clarity. I highly recommend Shehwani to anyone seeking reliable, skilled, and trustworthy freelance support. A+++

Ghulam L.

@ResearchDoll

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Flagge von

LONDON, Pakistan

•

vor 8 Monaten

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Bildung

MS in Data Science from SZABIST University

2020 - 2022

•

2 Jahre

Flagge von

Pakistan

2020 - 2022

•

2 Jahre

Karachi University

2015 - 2019

•

4 Jahre

Bachelor of Science (B.S.) in Statistics

Flagge von

Pakistan

2015 - 2019

•

4 Jahre

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