• Demonstrated expertise in data, machine learning, software engineering, design, and product in forward-deployed consulting projects with Fortune 500 CPG companies.
• Led end-to-end product development encompassing product ideation, UI/UX, data pipeline construction, model development, and API developments.
• Built and improved a transformer model to forecast inventory and prevent out-of-stocks.
• Created a model explainability pipeline to estimate the revenue impact of various business KPI.
• Leveraged LLMs to enrich embedding space and add explainability to the model results.

Arena Website

• Designed ML solutions that accurately estimate device locations with satellite data (reduced GPS error by 42.0%). Developed an advanced Kalman filter technique that combines Weighted Least Squares optimization, Kalman filter, and boosting.
  Python Google Decimeter Challenge:Advanced Kalman Filter
• Performed exploratory data analysis of NYC building data using SQL and Python. Identified urban development trends and visualized how neighborhoods bloomed during each construction boom.
  SQL Python New York City: Booms and Blooms
• Applied statistical analysis and ML techniques to investigate the effects of competition and monopoly on airfare for the top 10 airlines. Identified different pricing models for regular and low-cost carriers.
  R Competition and Monopoly in the US Airline Industry
• Constructed price prediction models and developed an interactive dashboard (R shiny) in order to increase customer engagement. Estimated the geographic value by performing 2D-Gaussian surface fitting.
  Python R Improving Client Experience with Machine Learning

• Developed and optimized 3D printing SW and reduced the preparation time by 95% and the print time by 13%.
• Analyzed material test data and developed new 3D printing materials that meet international standards.

• Analyzed high-dimensional chemical data with MATLAB and Python (PCA ∙ n-point correlation function ∙ signal processing ∙ curve fitting) to identify, classify, and characterize materials.
  Key Publication Time-Space-Resolved Chemical Deconvolution of Cementitious Systems using Raman
  Key Publication Nacre Toughening due to Cooperative Deformation of Aragonite Platelets
• Applied ML, signal processing, and image processing techniques to analyze high-dimensional chemical data.
• Co-founded the Communication Lab; coached peers on effective data communication and data story-telling skills.
• Published 9 journal papers through collabs with interdisciplinary research groups at MIT, Harvard, and Cornell.

Merits
Dean's List, Honor Student, Merit Scholarship, Korean National Scholarship, Top National Scholarship