Waterloo, Ontario, Canada
· Cleaned and processed data gathered from Pitchbook, built and optimized classification model to predict private company IPO/M&A probability and achieved outstanding 85% precision to guide venture’s future investment. · Conducted literature research on algorithms for machine learning and deep learning related cases. · Evaluated target companies’ approach and industry advantage; gave presentation to investment committee.
• Provided exceptional research assistance for multiple aspects of a quadcopter prototype, investigating possible solutions and testing, assessing, and revising concepts to deliver results. • Explored options for a low-cost indoor global positioning system to track the quadcopter, designed light-weight quadcopter parts like sensor and payload holders, and worked on the on-board camera image processing and object localization abilities, quickly integrating feedback to improve the design with each iteration. • Garnered extensive experience in the overall design process, from initial specifications to working prototypes. • Kept meticulous and organized records, logs, and notes for quick reference and effective collaboration.