Data Analyst & Analytics Engineer

Segun
Bakare.

I turn raw data into decisions.

I build end-to-end data systems — automated pipelines, predictive models, and BI dashboards — that move teams from gut-feel to evidence-backed strategy. Python · SQL · Power BI · Tableau · XGBoost.

Selected Work

Projects that ship.

Not exercises. Real systems with real outputs.

✦ Flagship Project

Automated FPL Analytics Engine

A fully automated ML pipeline that fetches live FPL data daily, runs position-specific ensemble models (XGBoost + Gradient Boosting + Random Forest), and surfaces ranked transfer recommendations. Custom metrics: FD Index, Delta GI, ΔG_GW. Zero manual input after setup.

20% Prediction Accuracy Gain

Daily Automated Updates

Python XGBoost GitHub Actions Google Sheets API Tableau FPL REST API

View Live Project →

SQL · Power BI

Splendor Hotel Groups BI Analysis

End-to-end data exploration across booking records — uncovering seasonal demand patterns, revenue opportunities, and high-risk guest segments. Findings directly informed pricing strategy adjustments.

SQL Power BI DAX Data Modeling

View on GitHub →

ML · Analytics

Customer Churn Analysis

Analyzed 5,880 customer records to identify the real drivers of churn. Developed retention strategies projected to save $50K annually. From raw data to boardroom-ready recommendations.

Python Pandas Scikit-learn Data Viz

View on GitHub →