
Business Analyst with 5 years of experience identifying operational inefficiencies and growth opportunities through quantitative analysis. Analyzed customer behavior, product usage, and business processes to deliver measurable impact: 80% reduction in onboarding time, $112K enterprise deal closure, $30K/month in cost savings. Built data pipelines and dashboards (SQL, Python, Power BI) that automated reporting and scaled decision-making across product, operations, and executive teams. Deep experience in financial modeling, user research, and cross-functional stakeholder management.
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.