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Tauqeer A.

@tauqeer0307

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4.9
90

6.1

6.1

94%

Top 1% Mathematics Tutor

$10 USD / Hour

・

Flag of

Pakistan (6:27 PM)

・

Joined on April 11, 2016

・

2 Recommendations

$10 USD / Hour

・

Looking for an Expert Online Mathematics Tutor & Content Creator? Your search ends here! I’m Tauqeer Ahmad, a highly experienced Mathematics and Automata Theory Tutor with 8+ years of teaching experience at the college and university level. I have successfully completed 100+ projects on this platform with positive feedback, helping students worldwide grasp complex mathematical and computational concepts with ease. I provide personalized online tutoring, exam preparation, problem-solving techniques, and step-by-step explanations to help students excel in high school, college-level courses, and competitive exams. My Expertise Includes: ✅ Mathematics: Algebra, Calculus, Geometry, Trigonometry, Linear Algebra, Probability & Statistics, Discrete Mathematics, Engineering Mathematics ✅ Automata Theory: Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Computability & Complexity ✅ Exam Preparation: SAT, GRE, GMAT, and University-Level Mathematics & Theoretical Computer Science What I Offer as a Tutor: Personalized online tutoring – One-on-one or group sessions tailored to your needs Concept clarity with step-by-step problem-solving techniques Assignments & homework assistance – Expert guidance to improve your understanding and grades Automata Theory support – Covering DFA, NFA, Regular & Context-Free Languages, Turing Machines, and more ✍️ Educational Content Creation Services: Mathematics and Automata Theory lesson plans & presentations Customized quizzes, assignments, and exam papers Step-by-step solution guides & detailed worksheets PDF notes & study materials for students and educators I am committed to providing high-quality tutoring and educational resources, ensuring students master both mathematics and theoretical computer science concepts effectively. Let’s work together to make learning engaging and accessible! Feel free to reach out for inquiries or to book a session.

Verifications

On time

95%

On budget

92%

Accept rate

91%

Repeat hire rate

15%

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Portfolio

Portfolio

13677827
I successfully built an automation workflow using Microsoft Power Automate Desktop. This RPA solution was designed to perform online data entry tasks efficiently, processing and submitting thousands of records within just a few minutes. By leveraging Power Automate Desktop, the system automatically extracts data from structured files, inputs it into online forms, and submits the information with remarkable speed and accuracy. This project not only eliminated repetitive manual work but also reduced human errors, saving significant time and effort. It’s a great example of how automation can streamline business operations and boost productivity. I’m excited to continue exploring more ways to use Power Automate, Excel, and AI-driven tools to enhance efficiency and digital transformation in business processes.

Automation with Power Automate

I successfully built an automation workflow using Microsoft Power Automate Desktop. This RPA solution was designed to perform online data entry tasks efficiently, processing and submitting thousands of records within just a few minutes. By leveraging Power Automate Desktop, the system automatically extracts data from structured files, inputs it into online forms, and submits the information with remarkable speed and accuracy. This project not only eliminated repetitive manual work but also reduced human errors, saving significant time and effort. It’s a great example of how automation can streamline business operations and boost productivity. I’m excited to continue exploring more ways to use Power Automate, Excel, and AI-driven tools to enhance efficiency and digital transformation in business processes.

Automation with Power Automate

I successfully built an automation workflow using Microsoft Power Automate Desktop. This RPA solution was designed to perform online data entry tasks efficiently, processing and submitting thousands of records within just a few minutes. By leveraging Power Automate Desktop, the system automatically extracts data from structured files, inputs it into online forms, and submits the information with remarkable speed and accuracy. This project not only eliminated repetitive manual work but also reduced human errors, saving significant time and effort. It’s a great example of how automation can streamline business operations and boost productivity. I’m excited to continue exploring more ways to use Power Automate, Excel, and AI-driven tools to enhance efficiency and digital transformation in business processes.

Automation with Power Automate

12312173
Excited to share a recent dashboard I built using Power BI, focused on survey data related to anxiety attack severity. This dashboard was designed to explore and visualize how anxiety impacts individuals across different levels of severity. ? The dashboard provides a deep dive into: ✅ Severity levels (mild, moderate, severe). ✅ Frequency of anxiety episodes. ✅ Demographic insights (age, gender, region). ✅ Psychological factors contributing to anxiety. ✅ Life quality indicators linked to anxiety experiences. ✅ Trends and correlations to support mental health analysis. By combining interactive visuals and data storytelling, this dashboard aims to support researchers, health professionals, and mental wellness advocates in understanding patterns that can lead to better support strategies.

Dashboard in Power BI

12428084
I created a dynamic sales dashboard using Microsoft Excel to analyze and visualize key sales metrics. The project involved cleaning raw data, designing interactive charts and pivot tables, and implementing slicers for data filtering. Key performance indicators like revenue growth, profit margins, and sales by region were calculated using advanced Excel functions. The dashboard was designed to update automatically with new data, providing stakeholders with clear insights for informed decision-making.

Dynamic Dashboard in Microsoft Excel

13024149
A Car Sales Dashboard built entirely in Power BI! This dashboard is not only visually appealing but also packed with dynamic features and Time Intelligence functions to uncover deep insights from sales data. ? ??? ??????????: ✅ Fully interactive and filterable visuals. ✅ Year-over-Year (YoY) and Month-over-Month (MoM) analysis. ✅ Time Intelligence DAX functions for trends and performance tracking. ✅ Drill-down capabilities for regional and model-level sales insights. ✅ Clean and professional UI for executive reporting. This project helped me explore how to turn raw data into meaningful stories for better decision-making. It’s a great example of how Power BI empowers data professionals to transform numbers into actionable business insights. Feel free to connect if you’re interested in data analytics, dashboards, or Power BI projects!

Car Sales Dashboard in Power BI

A Car Sales Dashboard built entirely in Power BI! This dashboard is not only visually appealing but also packed with dynamic features and Time Intelligence functions to uncover deep insights from sales data. ? ??? ??????????: ✅ Fully interactive and filterable visuals. ✅ Year-over-Year (YoY) and Month-over-Month (MoM) analysis. ✅ Time Intelligence DAX functions for trends and performance tracking. ✅ Drill-down capabilities for regional and model-level sales insights. ✅ Clean and professional UI for executive reporting. This project helped me explore how to turn raw data into meaningful stories for better decision-making. It’s a great example of how Power BI empowers data professionals to transform numbers into actionable business insights. Feel free to connect if you’re interested in data analytics, dashboards, or Power BI projects!

Car Sales Dashboard in Power BI

12580393
I’m excited to share my latest Power BI Sales Dashboard, where I analyzed two years of sales data to uncover key business insights. This dashboard provides: ✅ Key Performance Indicators (KPIs): Revenue trends, profit margins, and sales growth. ✅ Product Analysis: Best-selling products and performance comparison. ✅ Customer Insights: Top customers, buying patterns, and retention analysis. ✅ Sales Performance: Monthly trends, seasonal impacts, and revenue breakdown. ✅ Forecasting: A 15-day sales forecast to help in better decision-making.

Sales Dashbaord In Power BI

I’m excited to share my latest Power BI Sales Dashboard, where I analyzed two years of sales data to uncover key business insights. This dashboard provides: ✅ Key Performance Indicators (KPIs): Revenue trends, profit margins, and sales growth. ✅ Product Analysis: Best-selling products and performance comparison. ✅ Customer Insights: Top customers, buying patterns, and retention analysis. ✅ Sales Performance: Monthly trends, seasonal impacts, and revenue breakdown. ✅ Forecasting: A 15-day sales forecast to help in better decision-making.

Sales Dashbaord In Power BI

I’m excited to share my latest Power BI Sales Dashboard, where I analyzed two years of sales data to uncover key business insights. This dashboard provides: ✅ Key Performance Indicators (KPIs): Revenue trends, profit margins, and sales growth. ✅ Product Analysis: Best-selling products and performance comparison. ✅ Customer Insights: Top customers, buying patterns, and retention analysis. ✅ Sales Performance: Monthly trends, seasonal impacts, and revenue breakdown. ✅ Forecasting: A 15-day sales forecast to help in better decision-making.

Sales Dashbaord In Power BI

I’m excited to share my latest Power BI Sales Dashboard, where I analyzed two years of sales data to uncover key business insights. This dashboard provides: ✅ Key Performance Indicators (KPIs): Revenue trends, profit margins, and sales growth. ✅ Product Analysis: Best-selling products and performance comparison. ✅ Customer Insights: Top customers, buying patterns, and retention analysis. ✅ Sales Performance: Monthly trends, seasonal impacts, and revenue breakdown. ✅ Forecasting: A 15-day sales forecast to help in better decision-making.

Sales Dashbaord In Power BI

I’m excited to share my latest Power BI Sales Dashboard, where I analyzed two years of sales data to uncover key business insights. This dashboard provides: ✅ Key Performance Indicators (KPIs): Revenue trends, profit margins, and sales growth. ✅ Product Analysis: Best-selling products and performance comparison. ✅ Customer Insights: Top customers, buying patterns, and retention analysis. ✅ Sales Performance: Monthly trends, seasonal impacts, and revenue breakdown. ✅ Forecasting: A 15-day sales forecast to help in better decision-making.

Sales Dashbaord In Power BI

12499548
In this project, I conducted a detailed sales analysis using Python, employing libraries like Pandas, Numpy, Seaborn, and Matplotlib to uncover key trends and patterns in the sales data. I began by cleaning and preprocessing the dataset with Pandas, handling missing values, and ensuring data consistency. I then performed exploratory data analysis (EDA) using Pandas and Numpy to calculate important metrics such as total sales, average monthly sales, and product-wise performance. For data visualization, I utilized Seaborn and Matplotlib to create various charts, including sales trends over time, product comparisons, and heatmaps to examine correlations between variables. Additionally, I carried out statistical analysis with Numpy to identify significant factors affecting sales, such as seasonality and regional differences. The final output was an actionable report, featuring clear, visually appealing graphs that helped stakeholders gain valuable insights into sales performance, enabling

Python Sales Analysis Portfolio proj

In this project, I conducted a detailed sales analysis using Python, employing libraries like Pandas, Numpy, Seaborn, and Matplotlib to uncover key trends and patterns in the sales data. I began by cleaning and preprocessing the dataset with Pandas, handling missing values, and ensuring data consistency. I then performed exploratory data analysis (EDA) using Pandas and Numpy to calculate important metrics such as total sales, average monthly sales, and product-wise performance. For data visualization, I utilized Seaborn and Matplotlib to create various charts, including sales trends over time, product comparisons, and heatmaps to examine correlations between variables. Additionally, I carried out statistical analysis with Numpy to identify significant factors affecting sales, such as seasonality and regional differences. The final output was an actionable report, featuring clear, visually appealing graphs that helped stakeholders gain valuable insights into sales performance, enabling

Python Sales Analysis Portfolio proj

In this project, I conducted a detailed sales analysis using Python, employing libraries like Pandas, Numpy, Seaborn, and Matplotlib to uncover key trends and patterns in the sales data. I began by cleaning and preprocessing the dataset with Pandas, handling missing values, and ensuring data consistency. I then performed exploratory data analysis (EDA) using Pandas and Numpy to calculate important metrics such as total sales, average monthly sales, and product-wise performance. For data visualization, I utilized Seaborn and Matplotlib to create various charts, including sales trends over time, product comparisons, and heatmaps to examine correlations between variables. Additionally, I carried out statistical analysis with Numpy to identify significant factors affecting sales, such as seasonality and regional differences. The final output was an actionable report, featuring clear, visually appealing graphs that helped stakeholders gain valuable insights into sales performance, enabling

Python Sales Analysis Portfolio proj

In this project, I conducted a detailed sales analysis using Python, employing libraries like Pandas, Numpy, Seaborn, and Matplotlib to uncover key trends and patterns in the sales data. I began by cleaning and preprocessing the dataset with Pandas, handling missing values, and ensuring data consistency. I then performed exploratory data analysis (EDA) using Pandas and Numpy to calculate important metrics such as total sales, average monthly sales, and product-wise performance. For data visualization, I utilized Seaborn and Matplotlib to create various charts, including sales trends over time, product comparisons, and heatmaps to examine correlations between variables. Additionally, I carried out statistical analysis with Numpy to identify significant factors affecting sales, such as seasonality and regional differences. The final output was an actionable report, featuring clear, visually appealing graphs that helped stakeholders gain valuable insights into sales performance, enabling

Python Sales Analysis Portfolio proj

In this project, I conducted a detailed sales analysis using Python, employing libraries like Pandas, Numpy, Seaborn, and Matplotlib to uncover key trends and patterns in the sales data. I began by cleaning and preprocessing the dataset with Pandas, handling missing values, and ensuring data consistency. I then performed exploratory data analysis (EDA) using Pandas and Numpy to calculate important metrics such as total sales, average monthly sales, and product-wise performance. For data visualization, I utilized Seaborn and Matplotlib to create various charts, including sales trends over time, product comparisons, and heatmaps to examine correlations between variables. Additionally, I carried out statistical analysis with Numpy to identify significant factors affecting sales, such as seasonality and regional differences. The final output was an actionable report, featuring clear, visually appealing graphs that helped stakeholders gain valuable insights into sales performance, enabling

Python Sales Analysis Portfolio proj

13677827
I successfully built an automation workflow using Microsoft Power Automate Desktop. This RPA solution was designed to perform online data entry tasks efficiently, processing and submitting thousands of records within just a few minutes. By leveraging Power Automate Desktop, the system automatically extracts data from structured files, inputs it into online forms, and submits the information with remarkable speed and accuracy. This project not only eliminated repetitive manual work but also reduced human errors, saving significant time and effort. It’s a great example of how automation can streamline business operations and boost productivity. I’m excited to continue exploring more ways to use Power Automate, Excel, and AI-driven tools to enhance efficiency and digital transformation in business processes.

Automation with Power Automate

I successfully built an automation workflow using Microsoft Power Automate Desktop. This RPA solution was designed to perform online data entry tasks efficiently, processing and submitting thousands of records within just a few minutes. By leveraging Power Automate Desktop, the system automatically extracts data from structured files, inputs it into online forms, and submits the information with remarkable speed and accuracy. This project not only eliminated repetitive manual work but also reduced human errors, saving significant time and effort. It’s a great example of how automation can streamline business operations and boost productivity. I’m excited to continue exploring more ways to use Power Automate, Excel, and AI-driven tools to enhance efficiency and digital transformation in business processes.

Automation with Power Automate

I successfully built an automation workflow using Microsoft Power Automate Desktop. This RPA solution was designed to perform online data entry tasks efficiently, processing and submitting thousands of records within just a few minutes. By leveraging Power Automate Desktop, the system automatically extracts data from structured files, inputs it into online forms, and submits the information with remarkable speed and accuracy. This project not only eliminated repetitive manual work but also reduced human errors, saving significant time and effort. It’s a great example of how automation can streamline business operations and boost productivity. I’m excited to continue exploring more ways to use Power Automate, Excel, and AI-driven tools to enhance efficiency and digital transformation in business processes.

Automation with Power Automate

12312173
Excited to share a recent dashboard I built using Power BI, focused on survey data related to anxiety attack severity. This dashboard was designed to explore and visualize how anxiety impacts individuals across different levels of severity. ? The dashboard provides a deep dive into: ✅ Severity levels (mild, moderate, severe). ✅ Frequency of anxiety episodes. ✅ Demographic insights (age, gender, region). ✅ Psychological factors contributing to anxiety. ✅ Life quality indicators linked to anxiety experiences. ✅ Trends and correlations to support mental health analysis. By combining interactive visuals and data storytelling, this dashboard aims to support researchers, health professionals, and mental wellness advocates in understanding patterns that can lead to better support strategies.

Dashboard in Power BI

12428084
I created a dynamic sales dashboard using Microsoft Excel to analyze and visualize key sales metrics. The project involved cleaning raw data, designing interactive charts and pivot tables, and implementing slicers for data filtering. Key performance indicators like revenue growth, profit margins, and sales by region were calculated using advanced Excel functions. The dashboard was designed to update automatically with new data, providing stakeholders with clear insights for informed decision-making.

Dynamic Dashboard in Microsoft Excel

13024149
A Car Sales Dashboard built entirely in Power BI! This dashboard is not only visually appealing but also packed with dynamic features and Time Intelligence functions to uncover deep insights from sales data. ? ??? ??????????: ✅ Fully interactive and filterable visuals. ✅ Year-over-Year (YoY) and Month-over-Month (MoM) analysis. ✅ Time Intelligence DAX functions for trends and performance tracking. ✅ Drill-down capabilities for regional and model-level sales insights. ✅ Clean and professional UI for executive reporting. This project helped me explore how to turn raw data into meaningful stories for better decision-making. It’s a great example of how Power BI empowers data professionals to transform numbers into actionable business insights. Feel free to connect if you’re interested in data analytics, dashboards, or Power BI projects!

Car Sales Dashboard in Power BI

A Car Sales Dashboard built entirely in Power BI! This dashboard is not only visually appealing but also packed with dynamic features and Time Intelligence functions to uncover deep insights from sales data. ? ??? ??????????: ✅ Fully interactive and filterable visuals. ✅ Year-over-Year (YoY) and Month-over-Month (MoM) analysis. ✅ Time Intelligence DAX functions for trends and performance tracking. ✅ Drill-down capabilities for regional and model-level sales insights. ✅ Clean and professional UI for executive reporting. This project helped me explore how to turn raw data into meaningful stories for better decision-making. It’s a great example of how Power BI empowers data professionals to transform numbers into actionable business insights. Feel free to connect if you’re interested in data analytics, dashboards, or Power BI projects!

Car Sales Dashboard in Power BI

12580393
I’m excited to share my latest Power BI Sales Dashboard, where I analyzed two years of sales data to uncover key business insights. This dashboard provides: ✅ Key Performance Indicators (KPIs): Revenue trends, profit margins, and sales growth. ✅ Product Analysis: Best-selling products and performance comparison. ✅ Customer Insights: Top customers, buying patterns, and retention analysis. ✅ Sales Performance: Monthly trends, seasonal impacts, and revenue breakdown. ✅ Forecasting: A 15-day sales forecast to help in better decision-making.

Sales Dashbaord In Power BI

I’m excited to share my latest Power BI Sales Dashboard, where I analyzed two years of sales data to uncover key business insights. This dashboard provides: ✅ Key Performance Indicators (KPIs): Revenue trends, profit margins, and sales growth. ✅ Product Analysis: Best-selling products and performance comparison. ✅ Customer Insights: Top customers, buying patterns, and retention analysis. ✅ Sales Performance: Monthly trends, seasonal impacts, and revenue breakdown. ✅ Forecasting: A 15-day sales forecast to help in better decision-making.

Sales Dashbaord In Power BI

I’m excited to share my latest Power BI Sales Dashboard, where I analyzed two years of sales data to uncover key business insights. This dashboard provides: ✅ Key Performance Indicators (KPIs): Revenue trends, profit margins, and sales growth. ✅ Product Analysis: Best-selling products and performance comparison. ✅ Customer Insights: Top customers, buying patterns, and retention analysis. ✅ Sales Performance: Monthly trends, seasonal impacts, and revenue breakdown. ✅ Forecasting: A 15-day sales forecast to help in better decision-making.

Sales Dashbaord In Power BI

I’m excited to share my latest Power BI Sales Dashboard, where I analyzed two years of sales data to uncover key business insights. This dashboard provides: ✅ Key Performance Indicators (KPIs): Revenue trends, profit margins, and sales growth. ✅ Product Analysis: Best-selling products and performance comparison. ✅ Customer Insights: Top customers, buying patterns, and retention analysis. ✅ Sales Performance: Monthly trends, seasonal impacts, and revenue breakdown. ✅ Forecasting: A 15-day sales forecast to help in better decision-making.

Sales Dashbaord In Power BI

I’m excited to share my latest Power BI Sales Dashboard, where I analyzed two years of sales data to uncover key business insights. This dashboard provides: ✅ Key Performance Indicators (KPIs): Revenue trends, profit margins, and sales growth. ✅ Product Analysis: Best-selling products and performance comparison. ✅ Customer Insights: Top customers, buying patterns, and retention analysis. ✅ Sales Performance: Monthly trends, seasonal impacts, and revenue breakdown. ✅ Forecasting: A 15-day sales forecast to help in better decision-making.

Sales Dashbaord In Power BI

12499548
In this project, I conducted a detailed sales analysis using Python, employing libraries like Pandas, Numpy, Seaborn, and Matplotlib to uncover key trends and patterns in the sales data. I began by cleaning and preprocessing the dataset with Pandas, handling missing values, and ensuring data consistency. I then performed exploratory data analysis (EDA) using Pandas and Numpy to calculate important metrics such as total sales, average monthly sales, and product-wise performance. For data visualization, I utilized Seaborn and Matplotlib to create various charts, including sales trends over time, product comparisons, and heatmaps to examine correlations between variables. Additionally, I carried out statistical analysis with Numpy to identify significant factors affecting sales, such as seasonality and regional differences. The final output was an actionable report, featuring clear, visually appealing graphs that helped stakeholders gain valuable insights into sales performance, enabling

Python Sales Analysis Portfolio proj

In this project, I conducted a detailed sales analysis using Python, employing libraries like Pandas, Numpy, Seaborn, and Matplotlib to uncover key trends and patterns in the sales data. I began by cleaning and preprocessing the dataset with Pandas, handling missing values, and ensuring data consistency. I then performed exploratory data analysis (EDA) using Pandas and Numpy to calculate important metrics such as total sales, average monthly sales, and product-wise performance. For data visualization, I utilized Seaborn and Matplotlib to create various charts, including sales trends over time, product comparisons, and heatmaps to examine correlations between variables. Additionally, I carried out statistical analysis with Numpy to identify significant factors affecting sales, such as seasonality and regional differences. The final output was an actionable report, featuring clear, visually appealing graphs that helped stakeholders gain valuable insights into sales performance, enabling

Python Sales Analysis Portfolio proj

In this project, I conducted a detailed sales analysis using Python, employing libraries like Pandas, Numpy, Seaborn, and Matplotlib to uncover key trends and patterns in the sales data. I began by cleaning and preprocessing the dataset with Pandas, handling missing values, and ensuring data consistency. I then performed exploratory data analysis (EDA) using Pandas and Numpy to calculate important metrics such as total sales, average monthly sales, and product-wise performance. For data visualization, I utilized Seaborn and Matplotlib to create various charts, including sales trends over time, product comparisons, and heatmaps to examine correlations between variables. Additionally, I carried out statistical analysis with Numpy to identify significant factors affecting sales, such as seasonality and regional differences. The final output was an actionable report, featuring clear, visually appealing graphs that helped stakeholders gain valuable insights into sales performance, enabling

Python Sales Analysis Portfolio proj

In this project, I conducted a detailed sales analysis using Python, employing libraries like Pandas, Numpy, Seaborn, and Matplotlib to uncover key trends and patterns in the sales data. I began by cleaning and preprocessing the dataset with Pandas, handling missing values, and ensuring data consistency. I then performed exploratory data analysis (EDA) using Pandas and Numpy to calculate important metrics such as total sales, average monthly sales, and product-wise performance. For data visualization, I utilized Seaborn and Matplotlib to create various charts, including sales trends over time, product comparisons, and heatmaps to examine correlations between variables. Additionally, I carried out statistical analysis with Numpy to identify significant factors affecting sales, such as seasonality and regional differences. The final output was an actionable report, featuring clear, visually appealing graphs that helped stakeholders gain valuable insights into sales performance, enabling

Python Sales Analysis Portfolio proj

In this project, I conducted a detailed sales analysis using Python, employing libraries like Pandas, Numpy, Seaborn, and Matplotlib to uncover key trends and patterns in the sales data. I began by cleaning and preprocessing the dataset with Pandas, handling missing values, and ensuring data consistency. I then performed exploratory data analysis (EDA) using Pandas and Numpy to calculate important metrics such as total sales, average monthly sales, and product-wise performance. For data visualization, I utilized Seaborn and Matplotlib to create various charts, including sales trends over time, product comparisons, and heatmaps to examine correlations between variables. Additionally, I carried out statistical analysis with Numpy to identify significant factors affecting sales, such as seasonality and regional differences. The final output was an actionable report, featuring clear, visually appealing graphs that helped stakeholders gain valuable insights into sales performance, enabling

Python Sales Analysis Portfolio proj

4.9 · 90 Reviews
Reviews
A

Multi-Project Management Excel Workbook Development • $264.70 USD

Great experience working with Mr Tauqeer. He delivered quality work on time and was very professional. Highly recommended

Former Client (inactive)

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Online Excel Tutor for Beginners • $614.50 USD

Thank you for your dedication and effort throughout the Excel course. The classes were clear, easy to follow, and engaging. I really appreciated the extra topics like dashboards and Power Query; it showed your passion and commitment to helping students grow. It’s been a great experience working with you!

Aishath F.

@PhaXu66

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Ra Rasgetheemu E-03, Maldives

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5 months ago

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K-12 Lesson Plan Creation -- 6 • $15 USD

Good work, done quickly

Dominique B.

@creatorup

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Flag of

Los Angeles, United States

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5 months ago

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Academic Environmental Lab • $260 CAD

Tauqeer was the best freelancer I have worked with thus far. Incredibly diligent and is very responsible with not over-promising scope of work. All work was done ahead of schedule and of a high calibre. I rehired Tauqeer and I would do it again.

Sebastian P.

@slppatton

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Vancouver, Canada

•

10 months ago

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Calculus-Based Volumetric Calculation • £15 GBP

He was not able to complete the task, but was very pleasant to work with and made a good attempt at the job. He did not dispute that the task could not be completed and approved the cancellation of the task. Overall, he left me with a very good impression. He is a responsible and professional freelancer.

Gregg R.

@GreggRichards

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Swansea, United Kingdom

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2 years ago

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Experience

Data Analyst

Jan, 2022 - Present

•

3 years, 10 months

Freelancer.com

Jan, 2022 - Present

•

3 years, 10 months

I am working as data Analyst here

Jan, 2022 - Present

•

3 years, 10 months

Math tutor

Jan, 2015 - Aug, 2019

•

4 years, 7 months

APS Karachi

Jan, 2015 - Aug, 2019

•

4 years, 7 months

I Provide my teaching service as a science teacher and Mathematics specialist

Jan, 2015 - Aug, 2019

•

4 years, 7 months

Education

Bahauddin Zakariya University

2019 - 2021

•

2 years

Mphil Mathematics

Flag of

Pakistan

2019 - 2021

•

2 years

Karachi University

2010 - 2014

•

4 years

MSC Mathematics

Flag of

Pakistan

2010 - 2014

•

4 years

Qualifications

Data Cleaning Using Python Libraries

2024

Udemy

I recently completed a comprehensive course in data cleaning with Python, gaining hands-on experience in preparing and refining data for analysis. Through practical projects, I learned to identify and handle missing values, outliers, duplicates, and inconsistencies, ensuring data quality and reliability. This skillset enables me to transform raw data into clean, organized datasets ready for in-depth analysis.

2024

40 Amazing Charts by Irfan Bakely

2024

Udemy

During this course, I have learned how to effectively populate data using professional charts, create dynamic visualizations, and present insightful information derived from data analysis. These skills have enhanced my ability to communicate complex data in a clear and visually appealing manner.

2024

Data Analytics Certification

2023

Simple I Learn

I have completed said course from Simple I Learn platform now I am fully aware of this type of tasks related to Data Sciences and Data analytics

2023

Certifications

Freelancer Orientation

Freelancer Orientation

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Preferred Freelancer Program SLA

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