Data Scientist — Machine Learning
I build end-to-end data science solutions across forecasting, supply chain optimization, and ML modeling.
My work spans time-series analysis, operations research, and deep learning, with a focus on translating analytical results into decisions that matter.
Interested in roles where models ship and impact is measurable.
ML / DL — Python · Scikit-learn · TensorFlow/Keras · PyTorch
Data & Pipelines — SQL · Spark / PySpark · Pandas
Visualization — Power BI · Tableau · Matplotlib · Seaborn
| Project | Description |
|---|---|
| Supply Chain Network Optimization | End-to-end OR solver — facility location, transportation flow & VRP in Python |
| Demand Forecasting & Inventory Optimization | Holt-Winters forecasting + EOQ/safety stock for Nigerian food markets |
| Time Series Analysis — Interbank Rates | Stationarity testing, model selection & rate forecasting |
| Renewable Energy Forecasting | 10-year multi-source forecasting across solar, wind, hydro & geothermal |