My Resume 📄

EDUCATION 👨‍🎓

Georgia Institute of Technology logo

Georgia Institute of Technology

Aug 2024 - Apr 2026Master's of Science in Computer Science, Specialization: Computing SystemsAtlanta, GA

Coursework: Computer Networks, Database Implementation, Operating Systems, Algorithms, Tech Policy & Privacy Law, Online Communities

University of Michigan logo

University of Michigan

Aug 2020 - May 2024Bachelor of Science in Engineering in Data Science summa cum laude, Math Minor, Linguistics Minor - 3.90/4.00 GPAAnn Arbor, MI

Coursework: Machine Learning, Software Engineering, Data Structure & Algorithms, Web Systems, Computer Organization, Natural Language Processing, Applied Regression Analysis, Combinatorics & Graph Theory, Reinforcement Learning, Quantum Computing, Information Retrieval

EXPERIENCE 👷‍♂️

Shopify logo

Shopify

May - Aug 2022Data Science Intern, Shopify PaymentsToront, ON & Vancouver, BC
  • Implemented and maintained Spark and SQL data pipelines to unblock SP deployment in France, improve data transformation workflow for three downstream teams, and contribute three new KPIs to company-wide dashboard
  • Created four interactive KPI dashboards for stakeholders and clients using SQL, Matplotlib, and Plotly
  • Processed and analyzed data gathered from an A/B test on onboarding email designs using Bayesian hypothesis testing and prepared visualizations for presentation to the marketing manager
  • Performed a week of on-call duty involving handling data requests using Trino and BigQuery and triaging and debugging failing pipelines
Michigan Data Science Team logo

Michigan Data Science Team

Aug 2021 - Aug 2024Vice President of Education, Project LeadAnn Arbor, MI
  • Project lead for webscrapping & video synthesis, reinforcement learning, image colorization, and sports data analysis and visualization (see projects page)
  • Collaborated with other execs on semesterly new member recruiting effort by developing onboarding materials, increased club enrollment by 200+% over two-year tenure
  • Revamped two Python tutorials, developed statistics and machine learning challenges, improved setup guides, created a troubleshooting FAQ document, and oversaw a Q&A forum for 100+ new members every semester
  • Managed weekly office hours and tutorial sessions with 150+ total attendees to lower the barrier of entry to data science
  • Built job opportunity repositories for members with no-code contribution workflows via GitHub actions