# 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. this is the full content dump of the site for LLMs and crawlers. for the navigational index see [llms.txt](https://shresh.ca/llms.txt). ## 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 - same-as links: https://github.com/shreshth-s, https://www.linkedin.com/in/shreshth-sharma-950826247/, https://x.com/shresh_data, https://instagram.com/5hresh ## 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 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. tags: python, scraping, codex-api, self-healing - github: https://github.com/shreshth-s/vlr-api ### bookwormd browse bestsellers and find free downloads. made anna’s archive easy to browse so you never have to pay for an ebook again. tags: web, next, scraping - site: https://bookwormd.com - demo: https://x.com/shresh_data/status/2032903731218448815 ### clicky-windows windows port of @FarzaTV’s clicky. saw it, thought it was cool, built it for windows. cleanup + open-source pass in progress. tags: windows, desktop, open-source - github: https://github.com/shreshth-s/clicky-windows - demo: https://x.com/shresh_data/status/2041955796439736753 ### val-events-radars pulls + updates valorant pro player data and renders comparable radar charts per event. fast, lightweight, deployed on streamlit. tags: python, streamlit, data-viz - live: https://val-events-radars.streamlit.app/ ### s&p inclusion 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%. tags: python, finance, finbert, nlp, ml - github: https://github.com/shreshth-s/sp500-predictor/ ### deepfake research: map the system 2026 finalist 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. tags: research, systems-thinking, policy, ai-ethics ## 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* - engineered a custom decision tree classifier using scikit-learn + streamlit; built a novel feature-exhaustion algorithm for distinct customer profiling, visualized via a secure interactive dashboard. - conducted deep-dive analysis on tfsa and rrsp campaigns using complex sql (multi-table joins across dimension and fact tables) and ml models to evaluate channel efficacy (email vs. banner) and optimize experimentation. - synthesized enterprise data into scalable, executive-ready insights on customer lifecycle (earn/burn points, renewals): bridged raw data to high-level loyalty strategy. - deployed and managed containerized data pipelines on kubernetes (k8s), leveraging aws s3 for scalable data storage and retrieval across multiple production environments. - built python-based infrastructure tooling to automate etl orchestration, monitor pipeline health, and streamline ci/cd workflows for model deployment on aws. ### data analyst (co-op) @ RBC *Jan 2025: Apr 2025 · hybrid* - piloted a contextual multi-armed bandit + RL framework for offer control testing, optimizing personalized offer splits across client segments. - automated tableau dashboards via snowflake drivers: killed the manual reporting cycle. - analyzed multi-year distributions of avion points earned/burned to identify top cohorts and inform loyalty strategy. - produced insights + custom reports for loyalty, cards, and finance teams: offer investment analysis, linked client segmentation. - stack: python (pandas, spark), sql (teradata, trino, snowflake), jupyter. ## 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) at https://shresh.ca/#spotify: not inlined here because it changes constantly. fetch directly from /api/spotify/now-playing and /api/spotify/top?type=tracks|artists|albums&range=short|medium|long for current data. ## collection physical vinyl + cd collection at https://shresh.ca/#collection. hand-curated, source: src/config/site.ts `collection` array. ### vinyls - The Melodic Blue: Baby Keem (2022): 2xLP - Alexander Nevsky: Sergei Prokofiev (1962): ny philharmonic · thomas schippers · lili chookasian · westminster symphonic choir - No Time For Sorrows: Fabienne Delsol (2004) - Channel Orange: Frank Ocean (2012): 2xLP - Ca$ino: Baby Keem (2026) - GNX: Kendrick Lamar (2025): blue vinyl - Kiss Land: The Weeknd (2018): 2xLP · ltd. sea blue reissue - The Queen Is Dead: The Smiths (2012): reissue · gatefold - Echoes Of Silence: The Weeknd (2015): 2xLP · mixtape reissue - Hurry Up Tomorrow: The Weeknd (2025) - House Of Balloons: The Weeknd (2015): 2xLP · mixtape reissue - Views: Drake (2016): 2xLP ### cds - The Richest Man In Babylon: Thievery Corporation (2005) - Good Kid, M.A.A.D City: Kendrick Lamar (2022): 10th anniversary reissue - 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): ltd. signed ## blog ### hello, world *2026-04-28* · url: https://shresh.ca/blog/hello-world/ tags: meta > kicking off the blog i finally pointed `shresh.ca` at something other than an MX record. i initally just had the domain for email forwarding lol this is the part of the site where i'll write about the things i build and feel strongly enough about. this post is mostly a placeholder tbh anyways, feel free to [say hi on x](https://x.com/shresh_data).