Francis Aminkeng Nju Tatuh

I’m a Data Scientist who builds systems that help organizations make smarter, faster, and more resilient decisions. My background spans from emergency‑management contracts, healthcare operations, and financial services giving me a unique ability to translate complex data into clear, actionable insights.

I’ve worked on projects involving classification, regression, anomaly detection, and real‑time analytics, and I’ve built scalable pipelines that power dashboards, forecasting tools, and mission‑critical decision workflows. I focus on clarity, reliability, and measurable business value.

Currently exploring Agentic AI and geospatial risk modeling, and how advanced analytics can support smarter customer targeting, operational planning, and real‑world decision‑making. Passionate about building AI systems that solve real problems and create tangible impact.



Skilled in: Machine Learning (classification, regression), NLP & LLMs, RAG Systems, Embeddings, Vector Databases (Pinecone, FAISS), Model Evaluation & Regression Testing, SQL & PySpark, Databricks, Cloud Architecture (AWS/Azure/GCP), CI/CD for ML, Containerized Model Deployment (Docker, FastAPI), Real‑Time Scoring Pipelines, Experimentation Frameworks, Causal Inference, Data Modeling, High‑Volume ETL, Feature Store Design.


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