
pamain macharia
@pamainmacharia
I turn retail and customer data into actionable insights using SQL, Python, and Power BI.
What I'm looking for
I've analyzed retail sales and customer behavior through independent projects, using SQL, Python, and Power BI to turn large datasets into business recommendations. In a retail sales analysis, I cleaned nearly 10,000 orders, identified unprofitable discount patterns, and built an interactive dashboard highlighting loss-making segments.
I've also segmented approximately 5,900 online retail customers from roughly 780,000 transactions, revealing that Champions and Loyal Customers generated 83.7% of revenue. With a Mathematics and Computer Science degree focused on Statistics and ALX Data Analytics training, I'm continuing into Data Science and machine learning.
Experience
Work history, roles, and key accomplishments
Data Analyst
African Leadership Experience
Jan 2025 - Jan 2026 (1 year)
Data Analyst with a strong foundation in SQL, Python, Power BI, and Excel, focused on turning raw data into actionable business insights.
Data Analyst
Independent Project
Conducted retail sales performance analysis, cleaning and structuring ~10,000 orders, writing SQL queries, and building an interactive Power BI dashboard to highlight loss-making segments.
Education
Degrees, certifications, and relevant coursework
ALX
Certificate, Data Science
Currently enrolled in the Data Science program, expanding skills in machine learning and advanced analytics.
African Leadership Experience
2025 - 2026
ALX
Certificate, Data Analytics
Completed Data Analytics program with training in SQL, Excel, Power BI, and Python for data cleaning, analysis, and dashboard reporting.
Technical University of Mombasa
Bachelor of Science, Mathematics and Computer Science
Grade: Second Class Upper Division
Bachelor's degree in Mathematics and Computer Science with a specialization in Statistics, awarded with Second Class Upper Division.
ALX
Certificate, Professional Foundations
Completed Professional Foundations training covering communication, collaboration, problem-solving, and professional ethics.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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