Data Scientist · ML / AI Engineer · Software Engineer
I build data-driven and AI systems end-to-end, from statistical modeling and machine learning to production APIs. My foundation is in physics and statistics (particle/medical-physics research and graduate coursework in machine learning, computer vision, and statistics), which is where I learned to reason carefully about data, uncertainty, and measurement before trusting a result.
I care about work that's reproducible, measured, and honest, models that are validated, not just trained; services that are tested, not just written.
Focus areas: machine learning · statistical inference & experimentation · time-series forecasting · retrieval-augmented generation (RAG) / LLM apps · backend APIs
- rag-qa-service — A retrieval-augmented Q&A API: retrieves relevant passages, has Claude answer grounded in them with citations, and ships a retrieval-evaluation harness (recall@k). FastAPI · Anthropic SDK · Docker · CI.
- customer-churn-prediction — End-to-end ML: leak-free scikit-learn pipeline, logistic vs. gradient boosting with cross-validation (ROC-AUC / PR-AUC), and permutation-importance explainability.
- url-shortener-api — Production-shaped REST service: FastAPI + SQLAlchemy 2.0, typed, crypto-random short codes, click tracking, full pytest suite, Docker, and GitHub Actions CI.
- onboarding-ab-test-analysis — A/B experiment readout (50k users): power analysis, two-proportion z-test, segmentation. Found a significant +1.0pp conversion lift (p = 0.0006), +17.8% on mobile paid social.
- revenue-forecasting-2026 — Holt-Winters time-series forecast, backtested on held-out data (MAPE 3.38%), with model-derived prediction intervals.
- employee-engagement-survey-sampling — Stratified sampling design: sample-size calculation (95% CI, finite-population correction), proportional allocation, and representativeness validation.
- Email: mbagwujohnpaulchiagoziem@gmail.com
- LinkedIn: http://linkedin.com/in/johnpaul-mbagwu-b294b81a9
- GitHub: @JPmbagwu
Open to Data Scientist, Machine Learning / AI Engineer, and Software Engineer roles.