ASHREF BERBAOUI
4th-Year AI & Data Science Engineering Student
ENSIA (École Nationale Supérieure en Intelligence Artificielle) · Algiers, Algeria
Executive Summary
My pathway in technology is anchored in quantitative rigor and hands-on craftsmanship. From topping the wilaya at the Baccalaureate (18.28/20) to entering Algeria's premier National Higher School of Artificial Intelligence (ENSIA), I have consistently pursued challenges at the frontier of machine learning and software engineering.
Rather than treating machine learning as isolated notebooks, I specialize in the full lifecycle: robust data extraction, statistical feature engineering, gradient-boosting ensembles (LightGBM, CatBoost, XGBoost), calibration, and deploying models into real-world production constraints — from cloud backends to resource-constrained edge devices such as Raspberry Pi.
Education
ENSIA — École Nationale Supérieure en Intelligence Artificielle
Sept. 2023 – Present (4th Year) · Algiers, AlgeriaRigorous 5-year Grande École curriculum covering advanced mathematics, statistical learning, deep learning, algorithmic complexity, optimization, distributed computing, and software architectures.
Baccalaureate Examination — Experimental Sciences
July 2023 · AlgeriaAwarded 1st place across the entire wilaya with highest distinction (Mention Très Bien avec Félicitations), earning entry into the elite National School of AI.
Thirduni Apprenticeship
September 2026 · Algiers / RemoteSelected for specialized hands-on technical learning track focused on contemporary AI architectures, applied engineering pipelines, and global industry standards.
Key Engineering & AI Projects
Driver Monitoring & Fatigue Detection — Lead Machine Learning & Edge Engineer
Jan. – June 2026An edge-based driver monitoring system developed in collaboration with Qareeb, designed to detect driver fatigue and unsafe behaviors in real time.
ENSIApedia — Founder & Full-Stack Architect
2024 – PresentA student-focused knowledge platform built to make ENSIA's academic resources easier to discover, navigate and share.
ATE — Team Leader & Lead Mobile Developer
Sept. – Dec. 2025Community mobile application connecting food enthusiasts to discover dishes, review spots, and share culinary stories. Led a team of 4 engineers from inception to live beta deployment.
CubeSat Battery Life Prediction (ASAL) — Data Mining & Predictive Modeler · Team of 4
Sept. – Dec. 2025Collaborated with the Algerian Space Agency (ASAL) to model the State of Health (SOH) and predict Remaining Useful Life (RUL) of lithium-ion battery cells subjected to harsh nano-satellite orbital cycles.
BNP Smart Cafeteria Demand Forecasting — Data Scientist & Forecasting Architect
June 2026 – Sept. 20261st Place winning demand-forecasting solution at GDG AI Fest hackathon, followed by an intensive Data Science internship at BNP Paribas El Djazaïr. Modeled high-dimensional daily lunch consumption patterns to eliminate food waste.
Honors & Hackathon Awards
1st Place — Smart Cafeteria Demand Forecasting Challenge (AI Fest Hackathon (Google Developer Groups - GDG))
1st Place (Challenge) · 3rd Place Overall (8 Tracks)Engineered an ensemble time-series demand forecasting engine blending LightGBM, XGBoost, and CatBoost with custom calendar & weather lag features, directly leading to a Data Science internship offer at BNP Paribas El Djazaïr.
3rd Place — FORSA Hackathon (60+ National Teams) (Algérie Telecom & National Partners)
3rd Place LaureateDeveloped a sentiment analysis solution for Algerian Social mEDIA comments using DZIRIBERT and NLP techniques.
Technical Skills
AI & Machine Learning: scikit-learn, NumPy, Pandas, Matplotlib, CatBoost, XGBoost, LightGBM, ARIMA/SARIMA
Languages: Python, TypeScript, JavaScript, C, C++, Java, PHP, HTML5, CSS3
Web & Mobile: React, Next.js, TailwindCSS, Flask, Flutter (BLoC), Vite
Databases & Cloud: MySQL, Oracle, Supabase, PostgreSQL
Tools & Hardware: Git, GitHub, Vercel, Render, Netlify, Anaconda, LaTeX, Raspberry Pi, Arduino