- Developed a robust advertising analytics framework leveraging GPT-3 language models and multivariate linear regression for ROI analysis, providing data-driven insights to inform strategic decision-making.- Implemented A/B testing to systematically compare the effectiveness of various ad creatives, placements, targeting options, and audience segments, enabling precision marketing.- Leveraged user profiling data (age, gender, interests, device, browsing behavior) to create granular customer segments and deliver highly personalized ad experiences.- Developed a feasibility report for the 2025 advertising budget and strategy proposing increased video ad spend, intensified social media marketing, and keyword bidding optimization to enhance brand visibility and conversion.- Projected a 10% increase in average order value in 2025.- Successfully led the team in achieving a 10% increase in click-through rate and a 20% decrease in cost, resulting in a substantialboost in ROI.

- Successfully built and nurtured a North American startup community, partnering with renowned accelerators like Y Combinator and First Round Capital. Hosted 20+ networking events, attracting over 500 entrepreneurs.- Leveraged Python and SQL to deep dive into YC's resources, successfully incubating 18+ startups for the 2024 Spring Y Combinator batch. 6 of these startups were selected for Demo Day, securing a combined $1.2 million in funding- Developed a proprietary mentor matching system, utilizing data analysis to achieve a 90% match rate, significantly accelerating team growth.- Conducted in-depth research on the AI landscape, producing 7+ industry reports covering healthcare, finance, and autonomous driving.- Enhanced data extraction efficiency by 37% through sophisticated SQL queries, providing critical insights for project evaluation.- Employed machine learning to model user behavior, delivering data-driven recommendations for product optimization.- Collaborated cross-functionally on project evaluations, due diligence, and investment committee presentations.- Monitored industry dynamics and capture industry strategic dynamics with Python, Tableau, etc.

- Assist in designing the competitive product analysis framework, perform sales predictive analysis using Python and conduct regression analysis with Excel to identify key metrics that lead to competitive advantages.- Quantify the impact of the Covid pandemic on consumer purchasing power, present monthly visualized reports to managers.- Apply frameworks such as SWOT, KANO, Porter Five Forces Analysis, and Growth-share Matrix to company research.

Created quantitative models with Java and python for market forecast and trading.- Examined 10-k reports and performed financial analysis for 20 companies, used Excel to calculate operating cash flow, fixed-cost coverage ratio, leverage ratio, adjusted EVITDA, etc., co-authored eight industry analysis reports.- Performed valuation of two real estate investment properties by quantifying key metrics such as net operation income,cap-rate, return on equity, and debt service coverage ratio.- Conducted due diligence on a client company.