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$7 USD / Stunde
Flagge von EGYPT
cairo, egypt
$7 USD / Stunde
Es ist derzeit 7:47 PM hier
Beigetreten am Oktober 9, 2021
0 Empfehlungen

Ahmed K.

@ahmedkhalil2789

 0,0 (0 Bewertungen)
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$7 USD / Stunde
Flagge von EGYPT
cairo, egypt
$7 USD / Stunde
N/A
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Data Analyst, Python, Power BI, Excel, Fintec

IBM & Google Certified Data Analyst and Python, with 4+ years of experience in data analytics, business intelligence (BI), and data visualization. Specializing in Power BI, Python, and Excel, leveraging data for business growth, cost reduction, and profit enhancement. I turn complex data into clear, actionable insights to enhance decision-making and elevate operational efficiency in meaningful ways. Skills: ● Python, Power BI, Excel, and SQL for deep data insights, advanced data analysis, visualization, and reporting ● Creating BI solutions with Power BI, focusing on data-driven strategies for business optimization ● Automating data processes, data cleaning, and optimization with Python, DAX, and Power Query ●Creating Python script ● Excel and Google Sheets for data manipulation, analysis, and presentation; skilled in VBA, Macros, Pivot Tables, and complex formulas. Excel & BI Analytics Specialization: ● Designing custom Excel & Google Sheets templates tailored for enhanced data analysis and presentation. ● Developing comprehensive & insightful dashboards in Excel, and Power BI for financial modeling, survey analysis, and business intelligence. ● Advanced expertise in Excel for data validation, cleaning, and analysis, ensuring data integrity and actionable insights to facilitate complex data handling. Whether you need help with a one-time project or ongoing support, I am confident that I can deliver the results you are looking for. Let's work together to unlock the full potential of your data and drive your business forward. Thank you! Have a nice day
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Portfolio

11843073
The client's objective is to create a calendar for tracking their campaigns, allowing for the organization and coordination of campaign schedules. Key components of the project include: 1. Calendar Design: Designing a user-friendly calendar interface that allows for easy visualization and management of campaign schedules. This may include features such as drag-and-drop functionality, color-coding, and customizable views. 2. Campaign Management: Implementing tools for adding, editing, and deleting campaigns within the calendar interface. This includes capturing essential details such as campaign name, start and end dates, objectives, target audience, and budget allocation. 3. Scheduling and Coordination: Facilitating the scheduling and coordination of campaigns by providing features for setting reminders, assigning tasks, and collaborating with team members. This ensures that all stakeholders are informed and aligned on campaign timelines and activities. 4. Integration: Integrating
Campaign Calendar
11843072
Call center excel sheets
11843067
The client's objective is to create an Excel Dashboard to monitor and track the performance of call center employees, including the number of calls, the number of active and inactive customers, and daily performance metrics. Key components of the project include: Data Integration: Integrating data sources from the call center's systems into Excel to capture information such as the number of calls handled by each employee, customer statuses (active/inactive), and daily performance metrics. Dashboard Design: Designing a comprehensive dashboard within Excel to visualize key performance indicators (KPIs) related to call center performance. This includes graphs, charts, and tables to display metrics such as call volume, customer statuses, and daily performance trends. Performance Metrics: Defining and implementing performance metrics that accurately reflect the effectiveness and efficiency of call center employees. This may include metrics such as average call handling time, first-call
Call Center Dashboard (Excel)
11843056
The client's objectives were to create a heatmap of collection rates per day and calculate risks to identify which days during the collection process pose the most significant issues. Firstly, I gathered information about the collection process and calculated cash flow fluctuations for each period, as well as default rates. Based on this data, I predicted the likelihood of potential closures. The project involved: 1. Data collection: Gathering data on the collection process, including cash flow information and default rates. 2. Data analysis: Analyzing the collected data to identify patterns and trends in collection rates and default probabilities. 3. Risk assessment: Calculating the risks associated with each day of the collection process and identifying high-risk periods. 4. Visualization: Creating a heatmap to visually represent the collection rates per day and the associated risks. 5. Reporting: Presenting the findings to the client, along with recommendations for mitigating risk
Collection ratio Heat map ( Power BI)
11843051
The client's objective is to develop a sales dashboard showcasing sales percentages, values, and quantities. The screen should feature filtering options based on regions, salespersons, and product categories. Key components of the project include: 1. Data Integration: Gathering sales data from various sources, including regions, salespersons, and product categories, and integrating it into a unified database or system. 2. User Interface Design: Designing an intuitive and user-friendly display screen that presents sales data effectively. This includes features such as graphs, charts, and tables to showcase sales percentages, values, and quantities. 3. Filtering Functionality: Implementing filtering options that allow users to customize the displayed data based on specific criteria, such as regions, salespersons, and product categories. This functionality enhances user experience and enables users to focus on relevant data. 4. Backend Development: Developing the backend infrastructu
Sales Dashboard (Power BI)
The client's objective is to develop a sales dashboard showcasing sales percentages, values, and quantities. The screen should feature filtering options based on regions, salespersons, and product categories. Key components of the project include: 1. Data Integration: Gathering sales data from various sources, including regions, salespersons, and product categories, and integrating it into a unified database or system. 2. User Interface Design: Designing an intuitive and user-friendly display screen that presents sales data effectively. This includes features such as graphs, charts, and tables to showcase sales percentages, values, and quantities. 3. Filtering Functionality: Implementing filtering options that allow users to customize the displayed data based on specific criteria, such as regions, salespersons, and product categories. This functionality enhances user experience and enables users to focus on relevant data. 4. Backend Development: Developing the backend infrastructu
Sales Dashboard (Power BI)
11843073
The client's objective is to create a calendar for tracking their campaigns, allowing for the organization and coordination of campaign schedules. Key components of the project include: 1. Calendar Design: Designing a user-friendly calendar interface that allows for easy visualization and management of campaign schedules. This may include features such as drag-and-drop functionality, color-coding, and customizable views. 2. Campaign Management: Implementing tools for adding, editing, and deleting campaigns within the calendar interface. This includes capturing essential details such as campaign name, start and end dates, objectives, target audience, and budget allocation. 3. Scheduling and Coordination: Facilitating the scheduling and coordination of campaigns by providing features for setting reminders, assigning tasks, and collaborating with team members. This ensures that all stakeholders are informed and aligned on campaign timelines and activities. 4. Integration: Integrating
Campaign Calendar
11843072
Call center excel sheets
11843067
The client's objective is to create an Excel Dashboard to monitor and track the performance of call center employees, including the number of calls, the number of active and inactive customers, and daily performance metrics. Key components of the project include: Data Integration: Integrating data sources from the call center's systems into Excel to capture information such as the number of calls handled by each employee, customer statuses (active/inactive), and daily performance metrics. Dashboard Design: Designing a comprehensive dashboard within Excel to visualize key performance indicators (KPIs) related to call center performance. This includes graphs, charts, and tables to display metrics such as call volume, customer statuses, and daily performance trends. Performance Metrics: Defining and implementing performance metrics that accurately reflect the effectiveness and efficiency of call center employees. This may include metrics such as average call handling time, first-call
Call Center Dashboard (Excel)
11843056
The client's objectives were to create a heatmap of collection rates per day and calculate risks to identify which days during the collection process pose the most significant issues. Firstly, I gathered information about the collection process and calculated cash flow fluctuations for each period, as well as default rates. Based on this data, I predicted the likelihood of potential closures. The project involved: 1. Data collection: Gathering data on the collection process, including cash flow information and default rates. 2. Data analysis: Analyzing the collected data to identify patterns and trends in collection rates and default probabilities. 3. Risk assessment: Calculating the risks associated with each day of the collection process and identifying high-risk periods. 4. Visualization: Creating a heatmap to visually represent the collection rates per day and the associated risks. 5. Reporting: Presenting the findings to the client, along with recommendations for mitigating risk
Collection ratio Heat map ( Power BI)
11843051
The client's objective is to develop a sales dashboard showcasing sales percentages, values, and quantities. The screen should feature filtering options based on regions, salespersons, and product categories. Key components of the project include: 1. Data Integration: Gathering sales data from various sources, including regions, salespersons, and product categories, and integrating it into a unified database or system. 2. User Interface Design: Designing an intuitive and user-friendly display screen that presents sales data effectively. This includes features such as graphs, charts, and tables to showcase sales percentages, values, and quantities. 3. Filtering Functionality: Implementing filtering options that allow users to customize the displayed data based on specific criteria, such as regions, salespersons, and product categories. This functionality enhances user experience and enables users to focus on relevant data. 4. Backend Development: Developing the backend infrastructu
Sales Dashboard (Power BI)
The client's objective is to develop a sales dashboard showcasing sales percentages, values, and quantities. The screen should feature filtering options based on regions, salespersons, and product categories. Key components of the project include: 1. Data Integration: Gathering sales data from various sources, including regions, salespersons, and product categories, and integrating it into a unified database or system. 2. User Interface Design: Designing an intuitive and user-friendly display screen that presents sales data effectively. This includes features such as graphs, charts, and tables to showcase sales percentages, values, and quantities. 3. Filtering Functionality: Implementing filtering options that allow users to customize the displayed data based on specific criteria, such as regions, salespersons, and product categories. This functionality enhances user experience and enables users to focus on relevant data. 4. Backend Development: Developing the backend infrastructu
Sales Dashboard (Power BI)

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Erfahrung

Senior Business Analyst

Data soul
Jan. 2022 - Aktuell
Senior Business Analyst

Ausbildung

Bachelor's degree

Cairo University, Egypt 2007 - 2011
(4 Jahre)

Qualifikationen

FinTech and the Transformation in Financial Services

Copenhagen Business School
2024
FinTech and the Transformation in Financial Services

Data Analysis with Python

IBM
2022
This badge earner has the core skills in Data Analysis using Python. They can readily clean, visualize and summarize data using Pandas. Using Scikit-learn, the earner can develop Data Pipelines, construct Machine learning models for Regression and evaluate these models

Databases and SQL for Data Science

IBM
2023
This badge earner understands relational database concepts, can construct and execute SQL queries, and has demonstrated hands-on experience accessing data from databases using Python-based Data Science tools like Jupyter notebooks.

Kontaktieren Sie Ahmed K. bezüglich Ihres Jobs

Melden Sie sich an, um Details im Chat zu besprechen.

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Python
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