Data Engineer & ML/AI Practitioner, PhD — production ELT pipelines, applied ML systems, and a research background in computational mathematics.
I design and build data systems that hold up in production — layered ELT pipelines, cloud data warehouses, and applied ML/AI systems — with the same rigor I spent five years applying to peer-reviewed numerical research.
- 🔭 Building cloud-native ELT pipelines and MLOps systems (GCP · dbt-style layered warehouses · Prefect · MLflow)
- 🤖 Shipping RAG and LLM-powered applications grounded in real data sources, not model guesswork
- 🎓 Lecturing in Data Analytics & Machine Learning (Berlin School of Business & Innovation)
- 📄 PhD in Computational Mathematics (Quasi-Monte Carlo methods) · 5 peer-reviewed publications · Google Scholar · ORCID
- 📝 Writing on Medium
Languages
Data Engineering & Cloud
ML & MLOps
LLM / NLP
| Project | Description | Stack |
|---|---|---|
| Maternal Health AI Assistant | Agentic RAG assistant answering infant care questions — grounded in WHO/AAP/CDC guidelines and live USDA nutrition data, not model memory | LangChain · GPT-4o · FAISS · Streamlit |
| NourishMama | Cloud-native ELT pipeline and layered BigQuery warehouse (raw → staging → marts) powering a nutrition dashboard | GCP · Terraform · Bruin · Streamlit |
| Immobilien Preisrechner RLP | Regional house price model (R² 0.75) with SHAP explainability and MLflow-tracked experiments | XGBoost · SHAP · MLflow · Streamlit |
| MLOps Bike Demand | End-to-end MLOps pipeline with orchestration, CI/CD, and automated drift monitoring | MLflow · Prefect · Docker · Evidently |
| Hotel Booking Cancellations | ML model predicting cancellations to support dynamic pricing, retention targeting, and overbooking optimization | Python · Scikit-Learn · Gradio |
More case studies (with problem/approach/outcome write-ups): kachiann.github.io/portfolio-v2
🟢 Open to full-time and contract roles in data engineering, ML engineering, and analytics — based in Frankfurt, Germany (EU work authorisation). DM on LinkedIn or reach me at kachi.emenike12@gmail.com.