MOHAMED HASSAN-| https://m0hassan.github.io/
PROFESSIONAL SUMMARY
Detail-oriented Data Analyst with 1 year of experience leveraging data to drive business insights and optimize
performance in the telecommunications industry. I’m skilled in data analysis, visualization, and reporting using
tools like SQL, Excel, Python, and Power BI. Proven ability to collaborate with cross-functional teams to
support strategic decision-making.
PROFESSIONAL EXPERIENCE
Data Analyst
Airtel Kenya, Nairobi, Kenya
February 2024 – February 2025
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Analyzed large datasets from customer usage patterns to identify trends, delivering actionable insights
that improved mobile and data service offerings.
Developed and maintained interactive dashboards using Tableau to monitor KPIs such as network
performance, subscriber growth, and revenue trends.
Supported marketing initiatives by segmenting customers with SQL queries, enabling targeted
campaigns for M-Pesa and airtime promotions.
Conducted predictive analysis with Python to forecast network demand, optimizing resource allocation
for infrastructure planning.
Prepared and presented detailed reports on customer churn and revenue streams, contributing to datadriven strategic decisions.
Software Test and Automation - Internship
Safaricom PLC, Nairobi, Kenya
September 2022 – January 2024
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Performing functional and non-functional tests on applications
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Ensuring robustness of applications by performing performance tests under stress conditions •
Designing test strategies that emphasize maximum test coverage
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Test automation of manual tests to save on cost and man hours.
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Formulating a system that tracks benefits incurred from test automation
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Generating Quality Assurance reports that highlight the state of quality of products before deployment
EDUCATION
Bachelor of Science in Computer Science
University of the People, Pasadena, CA
Graduated: June 2023
Bachelor of Business Information Technology
KCA University, Nairobi, Kenya Graduated:
November 2023
SKILLS
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Data Analysis: SQL, Python, Excel
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Data Visualization: Tableau, Power BI
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Statistical Methods: Regression Analysis, Predictive Modeling
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Tools: Microsoft Office Suite, Google Analytics
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Soft Skills: Problem-Solving, Communication, Team Collaboration
PROJECTS
Customer Churn Prediction Model
• Built a Python-based model to predict customer churn for Safaricom, achieving an accuracy of 85%
and identifying key retention factors.
Network Usage Dashboard
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Created a Power BI dashboard to visualize real-time network usage trends, reducing report generation
time by 30%.
CERTIFICATIONS
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Google Data Analytics Professional Certificate – Coursera (2023)
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SQL for Data Science – Data Lemur (2023)
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Meta Frontend Professional Certificate – Coursera (2022)
