Selected projects
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A vertical B2B SaaS retail platform serving Beauty Supply merchants — checkout, promotions, and inventory across locations. As the business analyst, I own the path from stakeholder requirement to tested, shipped functionality.
- Gathered and documented business requirements from merchant and internal stakeholders, translating them into functional specifications and workflow diagrams.
- Partnered with UX/UI, engineering, and product teams to define user journeys and scalable feature specs, maintaining traceability from requirement to deliverable.
- Led cross-functional coordination with software vendors, payment processors, and POS hardware providers as subject-matter expert through rollout.
- Designed and executed QA/UAT test cases across retail scenarios — promotions, discounts, payment processing — driving data quality and process improvements.
- Conducted competitive and workflow gap analysis across POS ecosystems to spec gap resolutions and inform roadmap prioritization.
Requirements the whole team can trace, cleaner data quality, and a roadmap prioritized on gap analysis rather than guesswork.
A feature inside the S&P Capital IQ platform that lets users discover how companies relate through the language they share — surfacing connections that a plain keyword search would miss.
- Collaborated with cross-functional teams to define requirements and integrate the NLP/LLM-based trend-analysis feature into the platform.
- Implemented clustering and cosine-similarity scoring to structure related key-phrases and concepts.
Improved data quality and a richer end-user search experience for discovering how companies reference shared concepts.
Two large, messy NYC open datasets — 311 service complaints and open parking violations — that nobody had connected. I merged them into a clean warehouse and visualized what the combination revealed.
- Defined source-to-target mappings and built ETL pipelines with dbt to integrate the two sources into a unified data warehouse.
- Built Tableau dashboards visualizing KPIs to support data-driven analysis and reporting.
A queryable, combined view of two civic datasets and the relationships hiding between them.
Led a team through time-series analysis, clustering, and segmentation to build a predictive solution that improved client decision-making. Managed the project plan, kept delivery on time, and built the final presentation that carried the business insights.
Analyzed Cadillac's data in Adobe Analytics to identify key user behaviors and conversion drivers, then recommended mobile optimization and personalized engagement for the Build & Buy tool.
A little background
I came to data the long way — and that's the point.
I studied political science and journalism at Dongguk University, then earned a Master of Science in Business Analytics at Baruch's Zicklin School of Business. That path — from understanding people and stories to modeling their behavior — is exactly how I approach analysis: listen first, then turn what stakeholders actually need into specifications a team can build against.
Today I'm a business analyst at KISS Products, owning requirements, functional specifications, and QA for a B2B SaaS retail platform. Earlier I helped integrate an NLP/LLM feature into S&P Capital IQ, and managed $750K+ in annual ad campaigns at Buddhist Broadcasting System — client-facing, data-informed work across three industries.
Skills
- Business Analysis
- Requirements gathering, functional specifications, workflow diagrams, QA & UAT, gap analysis
- Data
- SQL, data warehousing / ETL (dbt), data quality analysis, Python, NLP, LLM
- Analytics & Viz
- Tableau, Advanced Excel, Google Analytics, Adobe Analytics, AWS
- Languages
- Korean (native), English (fluent), Japanese (intermediate)