Data Consultant

• Aug 2022 - Present

- Counseled 10+ students with general coding and data analytics problems, leveraging Python, Java, CSS, MS Office Suite among a wide range of majors and projects - Demonstrated proficiency in rapid acquisition of new knowledge to address questions or coding obstacles in uncharted fields - Counseled 10+ students with general coding and data analytics problems, leveraging Python, Java, CSS, MS Office Suite among a wide range of majors and projects - Demonstrated proficiency in rapid acquisition of new knowledge to address questions or coding obstacles in uncharted fields

Physics Teaching Assistant

• Aug 2022 - Present

Data Analyst

• Oct 2021 - Dec 2022

- Generated pre and post-game reports for Davidson Wildcats Women’s Division 1 Basketball team - Utilized R, Python(Pandas, NumPy, Matplotlib, Seaborn) to generate 10+ heatmaps for players, helping coaches to develop plays based on shooting accuracies - Conducted statistical scouting research on rival teams and generated reports of 5 key takeaways for 9 games - Generated pre and post-game reports for Davidson Wildcats Women’s Division 1 Basketball team - Utilized R, Python(Pandas, NumPy, Matplotlib, Seaborn) to generate 10+ heatmaps for players, helping coaches to develop plays based on shooting accuracies - Conducted statistical scouting research on rival teams and generated reports of 5 key takeaways for 9 games

Reinforcement Learning Research Assistant

• May 2022 - Aug 2022

- Collaborated with scientists at Michigan State University’s Facility for Rare Isotope Beams on a machine learning project - Created custom reinforcement learning (RL) environments to tune the magnet system along the particle accelerator - Implemented code to use PyTorch and randomized OpenAI Gym environment to test different RL environments - Proved that the RL approach can identify an optimal configuration, transitioning away from the need for lab technicians - Collaborated with scientists at Michigan State University’s Facility for Rare Isotope Beams on a machine learning project - Created custom reinforcement learning (RL) environments to tune the magnet system along the particle accelerator - Implemented code to use PyTorch and randomized OpenAI Gym environment to test different RL environments - Proved that the RL approach can identify an optimal configuration, transitioning away from the need for lab technicians

• Aug 2021 - May 2022

- Led lectures on a wide range of topics ranging from Chinese history, politics, to culture- Supported two students to complete a research project regarding political corruption during Spring 2022- Conducted and tutored a one-on-one Independent Study Class with a senior student for over 50 hours during Fall 2021

• May 2021 - May 2022

- Led communications with club members, acted as liaison with the college, collaborated with other student organizations- Hosted and 5+ cultural events and discussion panels about political, social, and economic issues in China