Bisong Rene

I’m a data professional who loves turning messy data into clear, measurable decisions using Python, SQL, and statistical thinking. I build predictive models, forecasting solutions, and experimentation pipelines—from problem framing and feature engineering to evaluation and storytelling for stakeholders.

My recent work includes customer churn modeling, retail demand forecasting, and sentiment analysis, where I focus on both performance and interpretability (e.g., using SHAP) and then help teams act on the insights through deployments and dashboards. I’m especially interested in delivering end-to-end results—training models, validating hypotheses, and tracking impact in tools like MLflow, FastAPI, and Power BI.