Toronto, Ontario, Canada
Summary
Supported faculty research in machine learning, contributing to data processing and model evaluation for a predictive analytics project.
Highlights
Assisted in cleaning and pre-processing large datasets (10,000+ entries) using Python (Pandas, NumPy), improving data quality by 15% for machine learning model training.
Developed scripts to automate data visualization and preliminary statistical analysis, reducing manual effort by 20 hours per week and enabling faster iteration on research hypotheses.
Collaborated with a team of 3 researchers to evaluate model performance, contributing to the optimization of algorithms that achieved a 92% accuracy rate in specific prediction tasks.
Presented weekly progress reports and findings to the lead researcher, enhancing project transparency and facilitating timely adjustments to research methodology.