Abdul Aziz

I am a detail-oriented Computer Science undergraduate specializing in data analysis, AI/ML, and practical Python development. I combine academic study with hands-on internship and project experience to turn raw data into actionable insights.

During a Data Analyst internship at Voartech, I cleaned, formatted, and organized recruitment datasets, automated repetitive workflows with Python, and learned real-world data processing practices.

My projects include an ARIMA-based COVID-19 forecasting model achieving ~85% accuracy over a 4-week window and an S&P 500 analysis using five years of historical data with visualizations and return calculations.

I am pursuing Applied Data Science training from WorldQuant University alongside my BS in Computer Science and I bring curiosity, dedication, and the ability to work independently to every assignment.