- Led the initiative to propose and design a scalable data mart, based on the analysis of financial data from 1.5 million SMBs, which enabled the development of new data products. This data mart improved data accessibility and streamlined retrieval times for both internal teams and clients.- Conceptualized and developed real-time interactive dashboards that delivered key insights into the performance of multiple SMBs. These dashboards, adopted by large corporations and government agencies, resulted in securing key clients in the early stages, significantly enhancing decision-making efficiency and uncovering new business opportunities.- Drove the commercialization of both the data mart and dashboards, contributing to a increase in team revenue by expanding solution sales and enabling data-driven decision-making for clients.

- Led the development and commercialization of a data analysis platform using Privacy-Enhancing Technology (PET), establishing partnerships with key data providers and securing the platform’s first successful data transaction.- Successfully planned and executed a large-scale data analysis competition with over 1,000 participants in collaboration with a government agency and major data companies in South Korea, promoting the PET-based platform and driving the adoption of privacy-preserving data analysis practices.

-Founded a startup focused on commercial real estate data analytics-Developed and commercialized a valuation service for commercial property assets-Graduated with top honors from the Ministry of SMEs and Startups' Pre-Startup Program-Selected for the Financial Services Commission's D-Testbed Program

- Identified client needs and delivered customized data solutions in the form of APIs, dashboards, and credit scoring systems, helping clients make informed decisions using financial data from over 5 million companies. Played a key role in driving a increase in team revenue by successfully selling these solutions to key clients.- Led the project from concept to execution, including performing data analysis, to develop a new data product combining corporate credit data and commercial real estate data. Successfully secured strategic partnerships and received CEO approval for the product's launch.

- Performed data analysis for automotive finance risk management, focusing on enhancing residual value prediction models for used cars, covering an asset portfolio of over 60 billion USD.- Analyzed the relationship between macroeconomic indicators and used car prices, and developed a stress-testing framework that was successfully adopted.

-Conducted supply management for US signal battalion-Translated for ROK-US army joint operations