A former NCAA Division I tennis player on a full-ride scholarship, I bring the same discipline and analytical mindset from the court to data science. With a bachelor's degree in biology and a strong foundation in research and problem-solving, I am now pursuing a master's in data science to leverage data-driven insights for impactful decision-making. My background blends teamwork, strategy, and technical expertise, making me a versatile and driven candidate in the field of data analytics.
Predicting the 2024 Presidential Elections by State; Machine Learning and Deep Learning for Data Science. This project aimed to predict the results of the 2024 presidential election on a state-by-state basis, leveraging historical election data spanning from 1976 to 2020.
Walmart Sales Forecasting Project. Development of predictive models to forecast Walmart’s retail sales using machine learning and time series techniques.
Calling Out from Work: Patterns of Absence Hours at a Brazilian Courier Workplace. Predicting higher-than-normal absenteeism from work in a Brazilian courier company using a variety of supervised and unsupervised machine learning models