- 🎓 I’m an Engineering student in Statistics & Data Engineering at ESP Nouakchott, with a double track in Statistical Economics (FSJE) and an exchange semester in Computer Engineering & Networks at ÉMSI Rabat.
- 🪙 Recently worked as an Assistant Engineer Intern at Kinross Gold – Tasiast Mine, on:
- Wall Compliance 80/80 dashboards (Toe/Crest/Berm Width KPIs),
- Daily Survey digitalization (Microsoft Forms → SharePoint/Excel Web → Power BI),
- Infra-hourly PV power forecasting with LSTM/GRU.
- 🤖 I build end-to-end data & AI solutions: from data collection and cleaning to dashboards, APIs and ML models in production-like environments.
- 💡 Strong interest in Mining Analytics, Time Series Forecasting, LLMs & RAG, and applied econometrics.
- 🏆 1st place – RIMAI Data Science Challenge 2024 (license plate recognition with computer vision & deep learning).
- 🚀 I love turning messy data into useful tools, dashboards and decision-support systems.
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🔎 RAG-WebSystem – Retrieval-Augmented Generation Engine
End-to-end RAG system (FAISS + LLMs) with ingestion, vector indexing, semantic search and answer generation; FastAPI backend and React/Tailwind UI.
👉 GitHub Repository -
🪫 PV Production Forecasting (Mining Site, Tasiast)
Time series modelling of infra-hourly PV power using LSTM/GRU, ramps (ΔP) and temporal encodings to anticipate sudden drops in production and support operational decisions. -
⛏️ DataMine App – Geostatistical Project Management
Collaborative platform to manage and track tasks for a geostatistical data project: task boards, progress monitoring and deliverable tracking.
👉 GitHub Repository -
🧬 Grain Size Analysis of 316L Microstructure
Computer vision pipeline (OpenCV, HED/U-Net) to segment grains on 316L steel micrographs, calibrate measurements and export grain statistics via a Gradio interface.
👉 GitHub Repository -
🌱 Smart Agriculture System (Greenhouse Analytics)
IoT + ML system for greenhouse monitoring: sensor data collection, dashboards and predictive models to optimise resources and yield.
👉 GitHub Repository
- 🥇 1st place – RIMAI Data Science Challenge 2024
License plate recognition using computer vision and deep learning on Mauritanian plates.
🔗 RIMAI Challenge Website
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