Five live-demo projects with case studies and traceable metrics, plus five SQL-first analytics repositories. The first three demo projects are ordered for fast recruiter review: churn scoring, experimentation, and applied AI.
Calibrated churn scoring workflow with threshold selection, SHAP explanations, lift analysis, and a live Streamlit deployment. Built to show how retention teams can rank customers before outreach.
Verified result
Product experimentation app covering data validation, hypothesis testing, confidence intervals, Bayesian checks, power analysis, and rollout guardrails.
Verified result
Source-grounded medical RAG assistant with citations, safety fallback behavior, RAGAS evaluation, and inference-only Hugging Face deployment.
Verified result
Retail revenue regression project with prediction intervals, SHAP explanations, Streamlit UI, and FastAPI serving path for operational use.
Verified result
Hospitality cancellation-risk scoring with cost-aware thresholding, SHAP explanations, and a revenue-protection framing for hotel operations.
Verified result
Five focused repositories covering experimentation, retention, growth analytics, feature engineering, and warehouse-style data pipelines. These projects are code repositories rather than live demos or full case studies.
Experiment design, metric definition, and statistical thinking
Cohort logic, repeatable retention views, and product analytics
Growth analytics, marketing efficiency, and acquisition quality
SQL-to-ML data preparation and reusable feature logic
Data modeling, warehouse thinking, and reproducibility
Recruiter code is optional and only helps attribute your visit.
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