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longa16/README.md

Hi, I'm Loic NGASSA

I’m really passionate about everything related to AI and Data Science, and I love geeking out over new machine learning trends. I'm looking forward to graduating soon and diving deeper into the data world!

Technical skills

python logo anaconda logo pytorch logo jupyter logo pandas logo r logo tensorflow logo numpy logo

amazonwebservices logo bash logo grafana logo html5 logo k3s logo linux logo prometheus logo azure logo

javascript logo bootstrap logo css logo docker logo html5 logo mysql logo nodejs logo nginx logo php logo postgresql logo sqlite logo cplusplus logo

Social media

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  1. Longa Longa Public

    RAG assistant that answers recruiters’ questions about my background, grounded strictly in my own documents. Hybrid retrieval, cross-encoder reranking, Gemini generation, RAGAS evaluation, Streamli…

    Python 1

  2. Time-series-Forecasting Time-series-Forecasting Public

    90-day retail sales forecasting with Prophet: trend and seasonality analysis, holdout evaluation (MAE, MAPE). Python, Pandas, Prophet.

    Jupyter Notebook 1

  3. E-Agent E-Agent Public

    AI email agent that reads, triages and summarizes my inbox and drafts replies / takes actions with human-in-the-loop validation. Built with Google OAuth api, qwen 3 27B and a integration in discord.

    Python 1

  4. NLP_Insight NLP_Insight Public

    Automated insight extraction from e-commerce customer reviews: topic modeling (TF-IDF + NMF) and topic × rating analysis to pinpoint root causes of dissatisfaction. Python, Scikit-learn.

    Jupyter Notebook

  5. Upflit Upflit Public

    Uplift modeling on email marketing data (Hillstrom, 64k customers): estimating the causal effect of a campaign with a T-Learner (Random Forest) to target “persuadables”.

    Jupyter Notebook 1

  6. YOLOv11-SAM YOLOv11-SAM Public

    pipeline constitué de YOLOv11-seg(fine tunner) pour identifier les cailloux sur une image et de SAM(segment anything model) qui identifie les masques et segmente chaque cailloux

    Python