At FlyRank AI, I built and evaluated a machine learning scoring and ranking model using Python and scikit-learn. I compared Logistic Regression and Random Forest models and developed a pipeline with DuckDB for data preparation, feature engineering, validation, and evaluation.
I also extended the FlyRank scoring and ranking model, refining feature engineering and validation while conducting data quality and leakage checks. I documented the methodology, model results, and analytical findings.
For ShopPulse, I developed a web-based survey analysis platform using PHP and MySQL, with interactive Chart.js dashboards. I also completed an Attachment Trainee placement at National Hospital Insurance Fund (NHIF) Kenya, where I assisted with validating digital health insurance records and supporting system data entry.
