• Under the guidance of researcher and graduate student John Wamburu, studied the problem of making electricity generation efficient and cost-effective.• Learned to process raw electricity generation data into useful dataframes for binary predictor models using Pandas.• Implemented, compared, and linearly optimized binary predictor models for the purpose of predicting peak days of electricity usage based on factors like date and weather patterns. • Gained critical knowledge of machine learning techniques utilized in academic research.