People / Students / Class of 2025
Lanfeng (Lance) Zheng is a dedicated data scientist with a strong academic background and diverse professional experiences. He graduated with an Honors Bachelor of Science degree in Statistics – Quantitative Finance from the University of Toronto Scarborough, maintaining a GPA of 3.83/4.0 and earning a spot on the Dean's List. Lance's coursework included Machine Learning, Stochastic Processes, and Time Series Analysis, and he served as a Teaching Assistant for Introduction to Probability and Statistics. Professionally, Lance has excelled as a Data Scientist Co-op at Ontario Lottery and Gaming, where he developed an XGBoost predictive model with 80% accuracy, significantly reducing player identification timelines and projecting an annual revenue increase of $60 million. At Sun Life Financial, he implemented data-driven strategies that saved $10,000 monthly and improved employee onboarding experiences with a PowerBI dashboard. His project work includes forecasting Ontario electricity prices and demand, analyzing Bitcoin prices for a 4% ROI increase, and enhancing asset pricing research through advanced NLP techniques. Lance's skills include machine learning, Python, SQL, and data analytics tools. He is eager to further his expertise in the MLDS program at Northwestern University, aiming to bridge the gap between technical expertise and business objectives. Lance aspires to implement innovative machine learning models and data-driven solutions that enhance operational efficiency and drive strategic decision-making in large organizations.
