Lotte Chemical
Data & Market Strategy for the Future of Mobility
At Lotte Chemical's Mobility Division, I analyze global automotive trends and collaborate with sales, R&D and global branches to shape customer strategy.
My work focuses on discovering new opportunities across mobility and adjacent industries—and helping customers adopt the next generation of materials.
University of Michigan , Ann arbor
Turning Data Into Insightful Decisions
During my graduate research at the University of Michigan,
I used statistical modeling and experimental design to solve real-world problems in healthcare, e-commerce and education.
I collaborated with clinicians, researchers and engineers to build models, validate results and translate data into actionable insights.
QPI
Co-founded
online social dating service
Collab Event with WeWork Korea
Planned and executed events with Wework Korea Seoul Square monthly to market the company and create more visibility; 300 percent user increase after all events
Data Analysis projects
Performed A/B Test and VOC (voice of customer) data analysis to strengthen user retention rate and satisfaction.
Designing company website
Designed the website blueprint and collaborated with a UX designer and a website developer.
Meeting with accelerators
Scheduled meetings with Korean accelerators, such as Kakao Ventures and Altos Ventures.
Developed matching operation system
Co-supervised programming of the user matching process in Python with a developer.
Reduced matching operation time by compiling disheveled data into a relational database.
Monthly marketing director
Planned and hosted monthly events, including those for Christmas, Valentine's Day, etc.
SI
Sports Intelligence, Intern
Established questionnaires for Korea Professional Sports Association (KPSA)'s project for analyzing overall conditions of Korea’s professional sports market.
Korea Professional Sports Association project
Cleaned raw data and advised the marketing strategy for SK Knights, a Korean professional basketball team
SK Knights' marketing project
Collected data on training results of 1,000 elementary school baseball players and made a new training schedule for them using a company-driven data program