I’m Adyanth Ganesh, a first‑year at Vanderbilt University pursuing a B.S. in Mathematics and an M.S. in Computer Science through the 3+1 program. I previously earned an A.S. in Mathematics from Mercer County Community College.
I care about building technology for mental health—useful, humane tools that actually help people. I founded Titi, an AI mental‑health web app with 1,500+ users; I’ve led statewide advocacy (SEL Day, support for Bill A359), and I love translating research into products that feel warm, safe, and effective. On the technical side, I explore ML systems, trading models, and thoughtful product design.
Sep 2025 – Present • B.S. in Mathematics, M.S. in Computer Science (3+1) • GPA 4.00/4.00 • Expected May 2029
First‑generation college student; recognized and interviewed by Dialogue Vanderbilt. Coursework in analysis, data structures, and behavioral science.
June 2023 – June 2025 • A.S. in Mathematics • GPA 4.00/4.00
Dean’s List; 16th in MIT Data Analysis Hackathon (sub 0.5% off perfect predictions).
Sep 2021 – Jun 2025 • GPA 4.58/4.00 • SAT 1550
French National Seal of Biliteracy; USACO Silver (Perfect Score); FPS Nationals 2nd; NMSQT Semifinalist.
Sep 2024 – Aug 2025 • Princeton, NJ
Implemented trading models for commodity‑linked investments (Python/R) using freight & shipping trends; automated dashboards with Pandas/Tableau improving allocation turnaround by ~25%; analyzed import/export flows to correlate logistics cycles with equity/commodity performance.
May 2023 – Aug 2023 • New York, NY
Supported grant operations and outreach; curated 50k+ political contacts; created 3D exhibition ‘Traveling Through the Times’; designed @metteens graphics contributing to growth from ~7.5k → 10.5k followers.
Dec 2022 – Jun 2024 • Claremont, CA (remote)
Produced six interdisciplinary papers across neuroscience, psychology, literature, and society; integrated findings into actionable guidance for first‑gen applicants and mental‑health resources.
2018 – 2025 • Princeton, NJ
Co‑authored Bill A359 (15,000+ educators trained); presented with #SameHere, NAMI, Pure Edge, AIR; NJAMHAA Suicide Prevention Conference panelist; partnered with NJDOE on SEL policy evaluation.
2023 – Present • West Windsor, NJ
Partnered with township leadership to develop inclusive programming and policy recommendations.
2019 – Present
Recsys, time‑series, and portfolio pipelines; USACO Silver (perfect); MIT Hackathon Top‑16.
AI chatbot, mood tools, and playful design; served 1,500+ users with stigma‑free support.
ML strategies on equities (XGBoost) with risk‑adjusted Sharpe 1.8 and ~75% win rate.
Gamified exploration with steps/elevation stats, leaderboards, and check‑ins.
pandas, PyTorch, NumPy, scikit‑learn
React, Node, data viz, R tidyverse
React/React Native, design systems
Flask/Node, REST, auth
AWS, CloudKit, CI/CD
recsys, time‑series, evaluation
Perfect score (2024)
Shinkansen predictive model
Mercer County College
Advanced research track
Equity in Access — compiled SEL resources and research to expand mental‑health support in underserved communities.