O&G operations and HSE professional with 15+ years of field experience — now fully applied to reliability data science and industrial AI. I build production-grade analytics platforms that combine domain knowledge with machine learning, deployed on Docker and Streamlit Cloud.
| Platform | Focus | Model | Tests | Live Demo |
|---|---|---|---|---|
| ORPMI | Predictive Maintenance Intelligence | Random Forest · ROC-AUC 0.9381 | 76 ✅ | Launch |
| HSEI | HSE Incident Analytics & Process Safety | API RP 754 · ISO 45001 · NUPRC/NOSDRA | 29 ✅ | Launch |
| HSIP | Safety Culture & LTI Prediction | Gradient Boosting + Isotonic Calibration | 19 ✅ | Launch |
Languages: Python · SQL
ML & Data: Scikit-Learn · XGBoost · Pandas · NumPy · Plotly · SQLAlchemy · SQLite
Deployment: Streamlit Cloud · Docker · Git · GitHub
Visualisation: Streamlit · Plotly · Power BI · Excel
ISO 14224 · API RP 754 (Tier 1–4) · ISO 45001 · ISO 10816 · NUPRC · NOSDRA · ExxonMobil OIMS
📧 ninahenchard@gmail.com 🔗 linkedin.com/in/nnenna-henchard 🌐 ninahenchy.github.io