Fatolu Adedoyin
@fatoluadedoyin
I turn large, messy datasets into statistical insights and actionable business dashboards.
What I'm looking for
I've analyzed datasets ranging from 105,018 child records to 890,000 patient records, using SQL, Excel, Python, R, and Power BI to turn complex data into decisions. My project work includes coffee sales, Adidas US sales, gaming markets, lung cancer treatment, and global space exploration.
In my under-five child survival analysis, I applied Kaplan–Meier estimation, Log-rank tests, Cox regression, and Schoenfeld residuals to identify mortality-risk predictors and translate findings into public-facing educational content. I bring a Statistics background and practical business thinking to dashboards, research briefs, and data stories that drive action.
Experience
Work history, roles, and key accomplishments
Data Analyst
Self Employed
Conducted data analysis projects using SQL, Excel, and Python to derive business insights from large datasets. Developed interactive dashboards and applied statistical methods to support decision-making.
Education
Degrees, certifications, and relevant coursework
Federal University of Agriculture, Abeokuta (FUNAAB)
Bachelor of Science, Statistics
2023 -
Grade: Second Class Upper Division
Pursuing a Bachelor of Science in Statistics with a Second Class Upper Division. Coursework includes statistical computing, regression analysis, probability theory, experimental design, time series forecasting, and survival analysis.
Federal University of Agriculture, Abeokuta
Bachelor of Science, Statistics
2023 -
Grade: Second Class Upper Division
Pursuing a Bachelor of Science in Statistics with a Second Class Upper Division. Coursework includes statistical computing, regression analysis, probability theory, experimental design, time series forecasting, and survival analysis.
Availability
Location
Authorized to work in
Job categories
Skills
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