Faustine Rodgers

Data Scientist | Machine Learning | Python Developer | Database Admin

I help organizations turn data into actionable insights through analytics, predictive modeling, and business-focused data solutions. My work spans people analytics, healthcare risk modeling, Kaggle competitions, and business intelligence.

Skills

Python (pandas, numpy) scikit-learn Machine Learning EDA & Data Cleaning Model Evaluation (ROC AUC, RMSE) Data Visualization SQL

Featured Projects

Employee Attrition Risk – Salifort Motors (Capstone)

Flagship HR analytics project analyzing workforce data to identify drivers of employee turnover and predict attrition risk using Decision Trees and Random Forest with cross-validation. Includes actionable HR retention recommendations.

GitHub

Heart Disease Risk Prediction (Healthcare ML)

Built a classification pipeline to predict heart disease risk using clinical features. Model performance validated using stratified cross-validation with ROC AUC ≈ 0.95.

GitHub Kaggle

Road Accident Risk Prediction (Kaggle ML)

End-to-end tabular machine learning pipeline using gradient boosting and cross-validation. Generated competition submissions and analyzed leaderboard performance.

GitHub Kaggle

Sales Analytics & Customer Segmentation

Business analytics case study including data cleaning, exploratory analysis, customer segmentation, sales forecasting, and strategic business insights.

GitHub

Contact

Email: faustinerodgers714@gmail.com

GitHub: https://github.com/Rodger-CZ

Kaggle: https://www.kaggle.com/faustinerodgerspius

LinkedIn: linkedin.com/in/faustine-r-a66bb8361