Product & Business Analyst with 3+ years at early-stage startups (Seed to Series A), specializing in data-driven product decisions and operational optimization. Built automated systems that cut feature prioritization time by 60%, contributed to $2M Series A funding through investor networking and financial modeling, and optimized supply chain decisions saving ~$30K/month. Equally comfortable in SQL and Power BI as in user research and pitch decks.
From 100+ messy tickets to structured user stories with Python + OpenAI text-embedding-3-small
Real examples: These represent aggregated feedback from multiple support tickets
Scale: Automated processing for 100+ support tickets → ranked roadmap items every week
Tech Stack: Python (Pandas, scikit-learn clustering), OpenAI text-embedding-3-small, JSON schema validation
Impact: Eliminated 8+ hours/week of manual ticket review & roadmap synthesis
Competed at international/national levels. Combat sports are basically optimization under pressure—learning to stay sharp, think fast, and iterate on strategy. Same mindset I bring to product decisions.
Varsity taught me that leadership isn't about having all the answers; it's about coordinating smart people toward a shared goal. Applies to cross-functional startup teams just as much as it does to the field.
Concentrated on supply chain management, finance, and marketing, with a focus on applying strategic business analytics to solve real-world challenges.
Participated in cross-functional team projects that required gathering requirements, analyzing stakeholder needs, and presenting data-driven solutions.
Applied quantitative research methods to policy impact assessment, strengthening data analysis capabilities.
Participated in high-level diplomatic events, developing exceptional professional communication and networking skills vital for stakeholder engagement.