Information Science @ Cornell
I study Information Science and Environment & Sustainability with a Data Science concentration and Business minor. I like work that turns messy data, markets, and human behavior into clear decisions.
My experience spans venture capital, business analytics, quantitative research, and content analytics. I build financial models, dashboards, research briefs, and project pages that make information easier to understand.
Develop structured financial models for healthtech and biotech startups, conduct market sizing and competitive analysis, and translate findings into concise investment memoranda.
Built Excel models for revenue drivers, unit economics, and cash flow sustainability across enterprise software firms while designing dashboards for performance reporting.
Analyzed engagement data, optimized content distribution, and used quantitative experiments to grow engagement and impressions.
Conducted structured quantitative analysis using Excel and SPSS, synthesized analytical outputs, and supported empirical research deliverables.
Revenue, unit economics, scenario, and sensitivity models for evaluating market opportunities and investment risk.
KPI tracking and reporting systems that clarify business performance and make recurring decisions faster.
Quantitative research support, empirical analysis, and co-authored publication work in Fish Physiology and Biochemistry.
Financial modeling, forecasting, unit economics, scenario analysis, sensitivity analysis, and valuation.
Advanced Excel, Python, Java, R, dashboard development, data cleaning, and KPI tracking.
English, Mandarin, Cantonese, Spanish, tennis, golf, business strategy, and applied data analysis.
I'm always happy to connect about analytics, finance, research, data projects, or opportunities where clear thinking and practical tools matter.