Ahmad El Set

Data Scientist  ·  Sports Analytics

I build machine learning tools that turn player performance data into scouting decisions — most recently for the Oklahoma City Thunder.

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About

I'm a data scientist with a Master's in Sports Analytics from Universidad Europea de Madrid and a Bachelor's in Data Science from Université Saint-Joseph. My work centers on predictive modeling and feature engineering applied to player performance — most notably Thunder Up, a scouting tool built as my capstone project for the Oklahoma City Thunder. Years of coaching basketball give me a domain-level read on the game that most analytics-only profiles don't have, which is what I try to bring to every model I build.

Core Competencies

Time-Series Predictive Modeling
Machine Learning (scikit-learn)
Feature Engineering & EDA
Python & R for Statistical Modeling
SQL & Relational Databases
Cloud Platforms (AWS, Azure)
Stakeholder Communication

Project

Master's Capstone

Thunder Up — NBA Scouting Tool

Final grade: 9/10
  • Designed and built a scouting tool for the Oklahoma City Thunder (NBA), applying statistical modeling and data visualization to support player evaluation and talent identification.
  • Worked with player performance data to surface insights intended to inform scouting and recruitment decisions.
  • Combined data science techniques with basketball domain knowledge to translate analytical output into scouting-relevant conclusions.
  • Evaluators highlighted the project's professional-caliber scouting workflow and its use of player archetypes, advanced metrics, and matchup analysis.
View on GitHub →

Experience

Ongoing

Basketball Coach

Spact Tripoli
  • Coach youth and amateur players, applying structured training methodology and performance feedback.
  • Completed the Chris Dial American Basketball Development Camp (Istanbul, Turkey), a specialized coaching and player-development program.

Education

2025 – 2026

M.Sc. in Sports Analytics

Universidad Europea de Madrid — Final grade: 9/10
2022 – 2025

B.Sc. in Data Science

Université Saint-Joseph (USJ), Tripoli, Lebanon
  • Relevant coursework: Big Data Frameworks, Artificial Intelligence, Data Mining, Data Visualization, Statistical Analysis, Project Management.

Technical Skills

Machine Learning
scikit-learn, time-series forecasting, predictive modeling, feature engineering, model evaluation and fine-tuning
Programming
Python (highly efficient), R, R Shiny, Pandas, FAISS, NLP, C++, SQL, MATLAB
Data & Databases
SQL, relational databases, ETL pipelines (SAP BODS), Apache Hadoop, Big Data Frameworks
Visualization
Streamlit, Power BI, Tableau

Certifications

Languages