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Mostafa A.

@mostafazinger

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Data Analyst

$10 USD / Hour
・
Flag of
Egypt (7:05 PM)
・
Joined on January 9, 2025
$10 USD / Hour
・
My journey in analytics is driven by a commitment to creating solutions that bridge the gap between data complexity and practical application. Whether through visualization, predictive modeling, or system development, I’m dedicated to translating data into clear, impactful insights.
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Freelancer System Administrators Egypt
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Portfolio

12447218
This dashboard provides a comprehensive overview of loan approval data, highlighting key metrics and trends. The majority of loans, 77.77%, are approved, while 22.23% are rejected. The data is segmented by various factors, including home ownership status, education level, gender, age, and loan purpose. The most common loan purposes are debt consolidation (19%) and education (17%). The dashboard also shows the maximum interest rate (13.396%) and loan-to-income ratio (12.026), offering insights into the financial risk associated with the loans. Demographic factors such as gender, education, and age are analyzed to understand their impact on loan approvals. This visualization is useful for risk assessment, targeted marketing, and improving loan approval processes.
Loan Approval
12447204
Key Highlights & Insights: Attrition Rate: 16%—higher than the average rate across industries (10-11%). By Job Role: Sales Representatives face the highest attrition at 40%, followed by Laboratory Technicians. By Department: Research & Development has the most alarming attrition rate at 56%, raising significant concerns. Education Factor: Employees with a Bachelor's degree leave the most, contributing to 41% of attrition cases. Work-Life Balance: Low work-life balance correlates strongly with attrition, but surprisingly, those with very high work-life balance also tend to leave—why? Demographics: Average attrition age: 33-34 years. Single males (27%) and single females (24%) are more likely to leave than their married counterparts (dropping to 11%-13%). Attrition decreases significantly after employees turn 31 and plateaus after 10 years at the company. Data Modeling: To ensure efficient analysis, I implemented a star schema: Created 7 dimensions (e.g., Job Role, Bu
HR Attrition Analysis
Key Highlights & Insights: Attrition Rate: 16%—higher than the average rate across industries (10-11%). By Job Role: Sales Representatives face the highest attrition at 40%, followed by Laboratory Technicians. By Department: Research & Development has the most alarming attrition rate at 56%, raising significant concerns. Education Factor: Employees with a Bachelor's degree leave the most, contributing to 41% of attrition cases. Work-Life Balance: Low work-life balance correlates strongly with attrition, but surprisingly, those with very high work-life balance also tend to leave—why? Demographics: Average attrition age: 33-34 years. Single males (27%) and single females (24%) are more likely to leave than their married counterparts (dropping to 11%-13%). Attrition decreases significantly after employees turn 31 and plateaus after 10 years at the company. Data Modeling: To ensure efficient analysis, I implemented a star schema: Created 7 dimensions (e.g., Job Role, Bu
HR Attrition Analysis
Key Highlights & Insights: Attrition Rate: 16%—higher than the average rate across industries (10-11%). By Job Role: Sales Representatives face the highest attrition at 40%, followed by Laboratory Technicians. By Department: Research & Development has the most alarming attrition rate at 56%, raising significant concerns. Education Factor: Employees with a Bachelor's degree leave the most, contributing to 41% of attrition cases. Work-Life Balance: Low work-life balance correlates strongly with attrition, but surprisingly, those with very high work-life balance also tend to leave—why? Demographics: Average attrition age: 33-34 years. Single males (27%) and single females (24%) are more likely to leave than their married counterparts (dropping to 11%-13%). Attrition decreases significantly after employees turn 31 and plateaus after 10 years at the company. Data Modeling: To ensure efficient analysis, I implemented a star schema: Created 7 dimensions (e.g., Job Role, Bu
HR Attrition Analysis
12447218
This dashboard provides a comprehensive overview of loan approval data, highlighting key metrics and trends. The majority of loans, 77.77%, are approved, while 22.23% are rejected. The data is segmented by various factors, including home ownership status, education level, gender, age, and loan purpose. The most common loan purposes are debt consolidation (19%) and education (17%). The dashboard also shows the maximum interest rate (13.396%) and loan-to-income ratio (12.026), offering insights into the financial risk associated with the loans. Demographic factors such as gender, education, and age are analyzed to understand their impact on loan approvals. This visualization is useful for risk assessment, targeted marketing, and improving loan approval processes.
Loan Approval
12447204
Key Highlights & Insights: Attrition Rate: 16%—higher than the average rate across industries (10-11%). By Job Role: Sales Representatives face the highest attrition at 40%, followed by Laboratory Technicians. By Department: Research & Development has the most alarming attrition rate at 56%, raising significant concerns. Education Factor: Employees with a Bachelor's degree leave the most, contributing to 41% of attrition cases. Work-Life Balance: Low work-life balance correlates strongly with attrition, but surprisingly, those with very high work-life balance also tend to leave—why? Demographics: Average attrition age: 33-34 years. Single males (27%) and single females (24%) are more likely to leave than their married counterparts (dropping to 11%-13%). Attrition decreases significantly after employees turn 31 and plateaus after 10 years at the company. Data Modeling: To ensure efficient analysis, I implemented a star schema: Created 7 dimensions (e.g., Job Role, Bu
HR Attrition Analysis
Key Highlights & Insights: Attrition Rate: 16%—higher than the average rate across industries (10-11%). By Job Role: Sales Representatives face the highest attrition at 40%, followed by Laboratory Technicians. By Department: Research & Development has the most alarming attrition rate at 56%, raising significant concerns. Education Factor: Employees with a Bachelor's degree leave the most, contributing to 41% of attrition cases. Work-Life Balance: Low work-life balance correlates strongly with attrition, but surprisingly, those with very high work-life balance also tend to leave—why? Demographics: Average attrition age: 33-34 years. Single males (27%) and single females (24%) are more likely to leave than their married counterparts (dropping to 11%-13%). Attrition decreases significantly after employees turn 31 and plateaus after 10 years at the company. Data Modeling: To ensure efficient analysis, I implemented a star schema: Created 7 dimensions (e.g., Job Role, Bu
HR Attrition Analysis
Key Highlights & Insights: Attrition Rate: 16%—higher than the average rate across industries (10-11%). By Job Role: Sales Representatives face the highest attrition at 40%, followed by Laboratory Technicians. By Department: Research & Development has the most alarming attrition rate at 56%, raising significant concerns. Education Factor: Employees with a Bachelor's degree leave the most, contributing to 41% of attrition cases. Work-Life Balance: Low work-life balance correlates strongly with attrition, but surprisingly, those with very high work-life balance also tend to leave—why? Demographics: Average attrition age: 33-34 years. Single males (27%) and single females (24%) are more likely to leave than their married counterparts (dropping to 11%-13%). Attrition decreases significantly after employees turn 31 and plateaus after 10 years at the company. Data Modeling: To ensure efficient analysis, I implemented a star schema: Created 7 dimensions (e.g., Job Role, Bu
HR Attrition Analysis
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Experience
CRM and Data Analyst
Mar, 2023 - Feb, 2025
•
1 year, 11 months
Unipal
Mar, 2023 - Feb, 2025
•
1 year, 11 months
Developed scripts and systems that have automated approximately 40% of the company’s workload, significantly enhancing efficiency and streamlining daily tasks. Deliver actionable business insights through comprehensive data analysis, supporting informed decision-making and strategic growth. Designed automation tools that free up valuable time for employees, allowing them to focus on high-impact work that drives company success.
Flag of
Cairo, Egypt
Mar, 2023 - Feb, 2025
•
1 year, 11 months
Education
Beni-Suef University
2020 - 2024
•
4 years
Computer Science, Medical Informatics
Flag of
Egypt
2020 - 2024
•
4 years
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