Mathematical Data Science Undergrad Student

AVERY TSAO

Bethesda, MD +1-202-***-**** *****.*.****.**@*********.***

EDUCATION

Dartmouth College June 2028

Bachelor of Arts, Major in Mathematical Data Science Hanover, NH Second Honor Group, Andrew J. Scarlett Scholar GPA: 3.96/4.00 Relevant Classes: Linear Algebra, Probability, Differential Equations, Topics in Machine Learning LEADERSHIP & ACTIVITIES

Dartmouth Finance Society June 2026 — Present

Head of Investment, Specialized Markets

• Led a machine learning project predicting words mentioned by politicians to compete in prediction markets with a weekly volume of ~$150,000+, currently achieving an 0.845 AUC compared to 0.863 market AUC, moving expected ROI from

-20% with a basic historical mentions model to -0.5% with the current multi-feature model on the same data

• Used semantic topic matching, TF-IDF importance, and Hierarchical Bayesian Shrinking to calculate word probabilities

• Engineered a data pipeline using public API scraping to capture 717 speech documents, attaching speaker and duration labels and removing filler to clean speech, and formatting the final 2.7M-token speech corpus in organized parquet files Predictive Sports Modeling June 2026 — Present

Developer

• Built ML models predicting probabilistic outcomes for soccer and chess markets, achieving a consistent 12% ROI on a weekly ~$18,000 volume chess market with a 0.75 AUC vs. the market’s 0.71, and 0.70 vs. 0.73 for international soccer

• Applied volatility, fee, and spread analysis to model vs market probabilities to calculate true EV and tailor betting strategies to each market, rejecting over 64% of bids per week and increasing ROI by 4.4%

• Developed and ran automated betting scripts while cleaning, formatting, and ingesting live data from various sources, using built-in safeguards to remove the need for human oversight; filling ~600 bids over 3 days per week, and flagging unusual model probabilities and ROI falling below the bootstrapped 95% confidence lower limit Dartboard (Task Marketplace Startup) October 2025 — February 2026 Founder

• Founded a two-sided freelance marketplace app at Dartmouth matching students with free time to students with demand

• Conducted a total of 37 student interviews over 5 MVP iterations, changing core features each time to fit existing demand

• Grew to a total of ~80 users using an idea-action-feedback loop, before ultimately rejecting the idea’s value proposition WORK EXPERIENCE

(Rem)Ember (AI Genealogy Startup) March 2026 — June 2026 Intern Hanover, NH

• Optimized and executed outreach strategies over 12 weeks under the former Head of Growth at Wiz, secured 5 partnerships with organizations out of 200 total contacted, and manually sought out and onboarded 5 users per week

• Developed Ember’s social media presence on various platforms resulting in 500k+ views, recorded targeted content based on viewer analytics, and met weekly to deliver progress reports and discuss general team focus areas and strategy

• Researched and implemented various GEO strategies to increase Ember’s exposure and web traffic, including engineering an AI-tailored 30-question FAQ page and linking forum/expert references to develop Ember’s AI trustworthiness score First Capital VC February 2026 — April 2026

Intern Hanover, NH

• Collaborated directly with the founder of a First Capital-backed startup to support early-stage operations, onboarded the first 200+ users over 4 weeks and meaningfully sharpened marketing strategy to target a specific customer beachhead

• Oversaw marketing and outreach strategy, including organizing a sponsored Hackathon with 500+ entrants, merchandise events resulting in 50+ signups and campus awareness, and an email marketing campaign resulting in another 150+ users

• Built and presented pitch decks and individually engaged with over 30 target customers to gain product feedback Harvard Law Professor Daniel Kahn June 2025 — August 2025 Legal Research Intern Bethesda, MD

• Researched and drafted a 20-page chapter of a legal treatise on the theory and role of artificial intelligence in corporate criminal liability using DOJ speeches, new legislation, relevant case studies, precedence, and hypothetical situations

• Researched and analyzed U.S. government laws and policies relating to general corporate misconduct, drafting a complete history of relevant frameworks and AI cases to contextualize new policies and landmark decisions SKILLS & INTERESTS

Technical Skills & Languages: Python, R, Swift, Data Engineering, Machine Learning, Microsoft Office, English Interests: Backpacking, Asian Cooking, Chess, Poetry, Short-Story Fiction Writing, Zoology, Haircuts

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