Global Development Dashboard
Tracking GDP, CO₂, and population across 180+ countries for a simulated global NGO.
Data Scientist & Analyst•Machine Learning•BI & Visualization•Casablanca, Morocco
I'm Ayoub — a Big Data & AI engineer turned Data Scientist and Analyst. I graduated from ISGA Rabat with a degree in Big Data & Artificial Intelligence, and I've spent the last 3 years turning messy data into systems that think, dashboards that speak, and models that predict.
At OCP Group — one of Africa's largest industrial companies — I ran exploratory data analysis, supported business teams with reporting, and validated data quality at scale. At ISICOD, I built recommendation systems from scratch, trained LSTM models that improved forecast accuracy by 12%, and implemented NLP semantic search pipelines with +30% ETL performance gains.
I work across the full data stack: from raw CSVs to cloud-native pipelines, from Star Schema design to real-time streaming with Kafka, from interactive Power BI dashboards to production ML models. Remote-ready. Detail-obsessed. Impact-driven.
Tracking GDP, CO₂, and population across 180+ countries for a simulated global NGO.
Turning 10,000+ patient records into a clinical risk monitoring tool.
Transforming dirty retail data into a clean, dual-perspective BI report.
Correlating 120 years of Olympic medals with GDP, population, and literacy.
Designing an enterprise-grade unified relational database for a global shipping network.
Transforming global happiness data into a cinematic data story.
Combining real-time transit APIs with 5-year ridership history to optimize urban transport.
Building a full enterprise analytics platform on Azure for 11,500 global Apple product sales transactions.
Extracting 30+ insights from 7.7 million accident records across 49 US states.
Building a live system monitoring dashboard with Kafka streaming and Looker Studio.
Piloting a pizzeria chain's operations with a full Star Schema model and drill-through dashboards.
A fully automated ML pipeline scraping, predicting, and visualizing the Moroccan real estate market every 15 minutes.
An LLM-powered book recommendation engine using semantic search, emotion detection, and zero-shot classification.
A production-grade hybrid recommender combining collaborative and content-based filtering with full evaluation metrics.
I document every transformation, every DAX measure, every architectural choice.
7+ projects delivered in squads using GitHub, Trello, Jira, Confluence, and Agile workflows.
Built for async work, structured communication, and clear written documentation.
Open to freelance projects, full-time roles, and data consulting missions. Remote-first. Available now.