A live analytics platform that grades every NFL player on a 0–100 scale across 12 positions, using statistical models tuned per position. 10 seasons of play-by-play and tracking data flow through a Python pipeline into Postgres; the web app surfaces per-season grades, career trends with uncertainty, and full depth charts for all 32 teams.

Pythonnext.jsPostgreSQLvercelnflverse

visit the site

Flagship — Live

prompt-data.vercel.app

Confidently-Wrong Rate●

Baseline (no trust)100%

Prompt Data41%

Over-decline (clear)0%

ECE 0.44 → 0.15EXEC ACC 55.8%

Text-to-SQL · Trust Layer

Prompt Data

Ask an e-commerce database a question in plain English, and trust the answer. The product is trust, not query generation: it asks instead of guessing on ambiguous questions, surfaces the assumptions behind every query, and attaches a calibrated confidence score. A reproducible eval harness on the BIRD benchmark backs every claim, cutting confidently-wrong answers from 100% to 41% while over-declining none of the clear questions.

PythonFastAPIClaude APInext.jsSQLite

visit the site

Flagship — Live

venue-insights.shanethakkar.com

Category Performance

●

F&B Analytics · Fully In-Browser

Venue Insights

Every venue exports its point-of-sale data differently and messily; this turns any of it into the same clean, documented, operator-grade analytics. It infers the schema from arbitrary headers, runs a transparent cleaning pipeline with a 0–100 Data Health Score, then produces ~13 analysis modules — category performance, Pareto tail-SKUs, menu engineering, market-basket lift, staffing curves, price elasticity — plus a plain-English executive summary and an exportable methodology report.

TypeScriptnext.jsWeb WorkersPapa ParseSVG viz

visit the site

/ 02

Projects

05 PROJECTS

Published · JUN 12 '26Privacy · Regulated Data · DuckDB

I Built the Missing Piece of the Ride-Hail Data Fight

Regulators want trip data; riders don't want to be tracked. RideCloak is the pipeline in the middle — it finds the personal data, generalizes locations until 90% unique trips fall to 0.06%, and logs every step in a tamper-evident ledger. Plus an AI agent that can't be talked into leaking.

pythonduckdbnlpk-anonymityllm-agents

read article

Published · MAY 25 '26SEC · NLP · 10-K Analysis

Failing Companies Tell on Themselves in Their Annual Reports

A model that reads what companies say about themselves in SEC filings catches 79% of bankruptcies across 24 cases. The 'false positives' include Nordstrom, Walgreens, Macy's, Kohl's, CVS, and Lucid Motors, all of whose decline didn't end in court.

pythonsklearnpandasnlpedgar

read article

Published · APR 22 '26NFL · WPA · XGBoost

Fourth Down Is Still Football's Biggest Coaching Problem

107k decisions from 1999–2025, scored against historically optimal calls. Coaches still leave ~one free win on the table every year — and the conservative ones make most of their mistakes in the red zone.

pythonpandasnumpyxgboostnflfastR

read article

/ 03

Tech I work with

STACK

drag to pick up

python

sql

jupyter

pandas

scikit-learn

tensorflow

keras

snowflake

databricks

docker

tableau

power bi

excel

react

next.js

claude code

/ 04

About

WHO

Hi, I’m Shane.

Recent Business Analytics & AI graduate with a strong foundation in machine learning and data analytics. I build end-to-end data solutions, from data processing and modeling to deploying live applications that deliver real insights.

My work spans advanced statistical modeling, predictive analytics, and building production-grade tools. Currently seeking full-time opportunities in Data Science, Analytics, and Machine Learning where I can apply technical skills to solve complex problems.

Quick Facts

[ 05 ]

Education: B.S. Business Analytics & AI, UT Dallas (May 2026)
Based: Frisco, Texas
Focus: Analytics · Data Science · ML · BI
Stack: Python · SQL · R
Teams

/ 05

Get in touch

LET'S TALK

Open to the next problem worth solving.

Exploring full-time roles in analytics, ML, data science, and BI. Always happy to connect about projects, ideas, or interesting problems.

get in touch resume.pdf

Emailshane.thakkar@gmail.com

LinkedInin/shanethakkar

GitHub@shanethakkar