I am finishing a bachelor's at UC Berkeley and building the skills and portfolio to launch my first professional role.
This collection shows coursework, personal projects, and learning milestones from my time at UC Berkeley that reflect what I can do as I start my career.
Built a classification model to predict movie characteristics using structured movie data, applying feature selection, similarity-based classification, and model evaluation techniques. Processed and analyzed movie datasets using Python and NumPy; evaluated model predictions using quantitative metrics.
Analyzed global population and economic datasets to investigate relationships between population growth, poverty, and regional development. Cleaned, transformed, and visualized datasets using Python; used statistical summaries to identify trends across countries and regions.
I am finishing a bachelor's at UC Berkeley and building the skills and portfolio to launch my first professional role.
I am Ilham Ali, a senior at the University of California Berkeley completing my bachelor's degree. I have limited formal work experience and am preparing to start my career while I finish my studies.
Experience
Behavior Technician
Gifted Horizon Therapy · June 2026 6Present
Marketing Director
Biome · May 2026 6Present
Summer Cohort Director
First Gen Scholars · June 2025 July 2025
Cancer Research Intern
UCSD Optimus Program · August 2024 August 2024
Education
University of California, Berkeley
Bachelor of Arts in Cognitive Science; Minor in Data Science. · Class of 2027
Skills
Built a classification model to predict movie characteristics using structured movie data, applying feature selection, similarity-based classification, and model evaluation techniques. Processed and analyzed movie datasets using Python and NumPy; evaluated model predictions using quantitative metrics.
Analyzed global population and economic datasets to investigate relationships between population growth, poverty, and regional development. Cleaned, transformed, and visualized datasets using Python; used statistical summaries to identify trends across countries and regions.
Analyzed historical climate data to identify patterns and trends in temperature and environmental conditions using Python. Applied data cleaning, aggregation, visualization, and statistical analysis; interpreted quantitative results to support evidence-based conclusions.