Senior Data Scientist in Growth Analytics• Developed a classification model using order transactions and merchant characteristics data to predict sales of extended warranties, and collaborated with Pricing and Optimization teams to apply it to financial forecasting and pricing recommendations for existing merchants• Developed an AWS pipeline that detects rule-based data anomalies, and sends Slack notifications to cross-functional stakeholders on a scheduled cadence, which played a critical role in preparing for peak sale periods such as Black Friday and maintaining data hygiene across Extend• Led Analytics Monthly Committee with a focus on Portfolio Analytics and presented data insights to executives on business performance trends and growth opportunities through statistical methods and visualizations using Python and Tableau• Spearheaded a firm-wide initiative to increase efficiency of sale cycles and merchant optimizations by scoping a project timeline and deliverables, clearly defining the roles and responsibilities of teams including Operations, Programs, and Analytics, and overseeing required training to remove redundant workflows

Data Scientist in Revenue Analytics & Machine Learning• Designed and implemented a unit economics model in production to help business understand profit at transaction level and make data-driven decisions based on claims performance • Developed a customer lifetime value (CLV) model and performed an exploratory data analysis to understand customer behaviors and segmentation • Partnered with Actuarial Science to deliver insightful metrics such as forward-looking loss ratios to identify anomalous merchants and analyze their risk performances efficiently• Partnered with Data Engineering to establish a robust data foundation for Analytics team • Created interactive dashboards to visualize KPIs and share insights on merchant performances and revenue trends• Built a foundation for feature store by integrating Feast and Snowflake for machine learning models

• Developed an end-to-end machine learning product that predicts returning customers for e-commerce businesses at Shopify by building data pipelines, and optimizing machine learning models• Created a client-facing Tableau dashboard to visualize the results of the e-commerce prediction model and share critical business insights of target customer base• Conducted a deep exploratory data analysis using Foursquare location-based data collected during COVID-19 to identify statistical relationships between foot traffic and demographic data in the US and built an interactive Tableau dashboard to share the findings• Collaborated with data scientists to build data pipelines for social media network APIs and provided analytical support for ongoing consulting projects

• Performed technical analyses by inspecting market conditions and conducting stress tests with various hedge options to help trading desks execute the most efficient trades• Authored a deep dive analysis on US Natural Gas Basis Markets, which includes an overview of regional natural gas market drivers, and proposal of idiosyncratic stress scenarios with shocks derived from correlation analyses• Implemented new stress definitions for risks specific to Natural Gas and Crude Oil desk by using time series analyses, and shock calibrations • Presented weekly top risks for North America Natural Gas & Oil desk to senior traders and risk managers by examining desk exposures, and market fundamentals

• Facilitated fixed income and FX options trading desks for Latin America (specializing in Mexico) by closely following markets, highlighting top exposures, and simulating impacts from idiosyncratic risks• Chaired a Market Color meeting with Country Risk to highlight key economic indicators, and provided updates on important geopolitical events along with relevant risk exposures for Latin America and Asia trading desks• Authored a deep dive analysis on financial markets in Argentina, which explains the background of its recent default, recovery of Argentine economy, and evolvement of desk’s trading strategies throughout the crisis

CIB Market Risk Commodities Group Summer Analyst• Generated daily reports for Global Commodities Group with P&L analysis and market drivers • Analyzed the sugar market in Brazil, suggested an outlook, and presented to Global Commodities Group • Competed in the Portfolio Challenge in Market Risk, which involved monitoring each asset in a portfolio every day, evaluating risks, proposing hedges to the portfolio, and presenting to Market Risk senior managers

Department of Business Innovation Intern• Presented an analysis about smart branches and digitalization of banks by trying out different mobile banking apps, visiting major Korean banks that had implemented branches without tellers, and collecting data from research articles about the trend of technologies used in banking• Engaged in all department projects such as planning an annual Town Hall Meeting for the CEO and all department heads of Citibank and strategizing for better marketing and business management

Neuropharmacology Research Assistant at Yonsei Severance Hospital • Observed different kinds of molecular and behavioral experiments in a lab. • Acquired different wet lab skills including conducting PCR, and purifying DNA, and applied them on rats.• Participated in weekly discussions with professors and graduate level students about published and ongoing papers about neuroscience, focusing in the field of neurotransmitters.