About me

Alexander El-Hajj professional headshot

Current

Analyst

Statistics Canada • Survey of Household Spending (SHS)

Co-leading the migration from legacy SAS to R & Python. I build automated validation pipelines that save hours of manual work, validate economic data, and coach teams on modern dev practices (GitLab, Python/R, Open Source Best-Practices). My goal? Turn messy processes into self-driving systems.

Previous

Analyst & Data Scientist

Statistics Canada • LISA & Data Science Division

Maintained the Longitudinal and International Study of Adults (LISA) and led the Wave 3 re-release. Built predictive models for Health Canada and the Public Health Agency of Canada in the Data Science Division. Founded StatCan's first Kaggle Competitive Group and published two research papers on food insecurity.


Offline Mode

Building AI Agents
Devouring Literature
Muay Thai
Boxing
Skiing
Cooking
Gym & Fitness

Featured Research

Interactive simulations and reinforcement learning

AI Learns to Beat a Pandemic

Reinforcement Learning & Public Health

We trained AI agents on real Ontario data to find behaviors that actually cut infection risk. In this interactive simulation, you take on the role of an agent: can you survive 100 days using the strategies our models discovered?

Food Insecurity & Stress

Socioeconomic Research at StatCan

This study investigates the extent to which stressful life events may increase the likelihood of food insecurity among the Canadian adult population. Those who experienced work and health-related stressful life events were significantly more likely to be exposed to food insecurity.

AI Art & Automation

Cinematic campaigns and generative workflows

Vuze Apple Campaign

Commercial AI Production

From Vuse to Coke Studio

I build custom AI pipelines to solve production bottlenecks for major brands. By combining style transfer, temporal consistency, and automation, I create broadcast-ready visuals at scale.

Personal and Academic Projects

Current and past projects

Auto Trader stock trading project

Auto Trader

Python Algorithmic Trading

A system to scrape market data and execute trade ideas automatically using Python. Focuses on automation and data pipeline efficiency.

Heart disease prediction project

Heart Disease Prediction

Machine Learning Analysis

A comparative analysis of supervised and unsupervised learning algorithms to determine the most effective models for predicting heart disease outcomes.

Steganalysis research project

Steganalysis

Digital Forensics Research

A detailed exploration of Steganalysis algorithms, technical discussions, and applications in detecting hidden information within digital media.

Want more?

Let's turn ideas into efficient reality. Connect with me below.

Here is a copy of my CV.