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fngaha/README.md

πŸ‘‹ Hi, I'm Franck Ngaha

Senior Python & AI Engineer
Building Production AI Systems That Drive Business Decisions.


πŸ›  Production Stack

Python Docker FastAPI GitHub Actions Google Cloud Run

πŸš€ What I Do

I design and deploy production-ready AI & Machine Learning systems
that transform probabilistic models into clear, auditable business decisions.

My focus is not just model accuracy β€” but decision systems aligned with real business constraints.


🧠 Core Expertise

Python & Backend

  • Python (Clean Architecture, OOP)
  • FastAPI / Flask
  • REST APIs
  • Refactoring & legacy modernization

Data & Machine Learning

  • Pandas / NumPy / SQL
  • Scikit-learn
  • Feature Engineering
  • Model evaluation & interpretability
  • Decision thresholds (ACCEPT / REVIEW / REJECT logic)

MLOps & Deployment

  • Docker
  • GitHub Actions (CI/CD)
  • Google Cloud Run
  • API-based model serving

πŸ”Ž Featured Project

Credit Risk Scoring β€” End-to-End ML System

From raw dataset to production decision engine:

  • Interpretable Logistic Regression baseline
  • Business decision layer
  • Flask API
  • Dockerized deployment
  • Cloud Run infrastructure
  • CI/CD pipeline

➑ Repository:
https://github.com/fngaha/pdi-credit-risk-ml


🌍 Portfolio

πŸ”— https://helloworldhub.dev


πŸ“« Contact


⭐ Building reliable AI systems that create real business value.

Pinned Loading

  1. pdi-credit-risk-ml pdi-credit-risk-ml Public

    Machine Learning project using the "credit-g" dataset (OpenML). CRISP-DM workflow: EDA, preprocessing, modeling, API (Flask) and UI.

    Jupyter Notebook 1

  2. labo-bi-olist labo-bi-olist Public

    A fully functional enterprise-grade BI pipeline.

    Python

  3. helloworldhub-site helloworldhub-site Public

    Personal portfolio & consulting site showcasing senior Python, Data & ML projects, with a production-ready FastAPI backend and Cloud Run deployment.

    Astro