# Shreshth Sharma (shresh)

> Shreshth Sharma, also known as shresh, is a developer in San Francisco working on simulations at Olam Labs and building data tools, scrapers, web apps, and open-source projects.

## identity
- full name: Shreshth Sharma
- goes by: shresh
- aliases: shresh, Shresh, shreshth, Shreshth Sharma
- canonical site: https://shresh.ca/
- location: San Francisco, California, United States
- current work: simulations @ Olam Labs

## about
moved to sf and am working on simulations
i'm currently on a year of absence from the math + cs / bba double-degree program at the university of waterloo and wilfrid laurier, and i was previously a data scientist at RBC.
on the side i build small, useful things: mostly data tools, scrapers, and web apps. most of them start as "i wish this existed" and end up on the internet a few weekends later.
i love being anti doomerism, i think the best things to exist haven't been made yet and i want to change that, a lot to look forward to.

## projects
- [vlr-api](https://github.com/shreshth-s/vlr-api): unofficial vlr.gg API for live + historical valorant stats: ratings, clutch %, first kills, team rankings, match data, all filterable by tournament/region. self-heals when vlr.gg breaks: catches the error, asks codex to find the new selectors, and re-points the scraper.
- [bookwormd](https://bookwormd.com): browse bestsellers and find free downloads. made anna’s archive easy to browse so you never have to pay for an ebook again.
- [clicky-windows](https://github.com/shreshth-s/clicky-windows): windows port of @FarzaTV’s clicky. saw it, thought it was cool, built it for windows. cleanup + open-source pass in progress.
- [val-events-radars](https://val-events-radars.streamlit.app/): pulls + updates valorant pro player data and renders comparable radar charts per event. fast, lightweight, deployed on streamlit.
- [s&p inclusion predictor](https://github.com/shreshth-s/sp500-predictor/): two-stage pipeline that predicts s&p 500 additions: hard eligibility filters (market cap, gaap profitability, float, liquidity) followed by a scoring model using sector gap analysis, midcap 400 membership, and finbert news sentiment. backtested on 40 historical inclusions: top-10 hit rate of 78%.
- [deepfake research: map the system 2026 finalist](https://shresh.ca): systems-thinking research on ai-powered deepfake sexual exploitation in north america. mapped technological accessibility, legal gaps, platform accountability, and gender-based harm using iceberg model + pestel analysis. proposed interventions across legal reform, stakeholder collaboration, and public awareness. selected as a finalist for map the system 2026.

## experience
- simulations @ Olam Labs (Jun 2026: present)
- data scientist @ RBC (Dec 2025: May 2026 · permanent part-time · hybrid)
- data scientist (co-op) @ RBC (Aug 2025: Dec 2025 · hybrid)
- data analyst (co-op) @ RBC (Jan 2025: Apr 2025 · hybrid)

## education
- University of Waterloo: Mathematics and Computer Science (2022: 2027)
- Wilfrid Laurier University · Lazaridis School of Business: BBA, Business Administration and Management (2022: 2027)

## stack
- languages: python, sql, typescript, javascript
- frameworks: pandas, spark, streamlit, next.js, astro, fastapi
- tools: snowflake, teradata, trino, tableau, cloudflare, git, docker

## contact
- email: shreshthsharma1904@gmail.com
- github: https://github.com/shreshth-s
- linkedin: https://www.linkedin.com/in/shreshth-sharma-950826247/
- x: https://x.com/shresh_data
- instagram: https://instagram.com/5hresh
- discord: shresh.s

## spotify
- live spotify data (now-playing + top tracks/artists/albums): https://shresh.ca/#spotify

## collection (vinyls + cds)
vinyls:
- The Melodic Blue: Baby Keem (2022)
- Alexander Nevsky: Sergei Prokofiev (1962)
- No Time For Sorrows: Fabienne Delsol (2004)
- Channel Orange: Frank Ocean (2012)
- Ca$ino: Baby Keem (2026)
- GNX: Kendrick Lamar (2025)
- Kiss Land: The Weeknd (2018)
- The Queen Is Dead: The Smiths (2012)
- Echoes Of Silence: The Weeknd (2015)
- Hurry Up Tomorrow: The Weeknd (2025)
- House Of Balloons: The Weeknd (2015)
- Views: Drake (2016)
cds:
- The Richest Man In Babylon: Thievery Corporation (2005)
- Good Kid, M.A.A.D City: Kendrick Lamar (2022)
- Damn: Kendrick Lamar (2017)
- Kiss Land: The Weeknd (2013)
- My Dear Melancholy,: The Weeknd (2018)
- After Hours: The Weeknd (2020)
- Dawn FM: The Weeknd (2022)

## blog
- [hello, world](https://shresh.ca/blog/hello-world/) (2026-04-28): kicking off the blog

## optional
- [llms-full.txt](https://shresh.ca/llms-full.txt): full content dump including blog post bodies