DATA
DRIVEN
BUILDER.

I'm Kanu Madhok — Senior Data Analyst at Walmart, MS in Applied Data Science from UChicago. I build GenAI copilots, RAG pipelines, and ML models that turn data into decisions.

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SELECT * FROMWHERE score > 0.95JOIN ON embeddingRAG_PIPELINE()
UCHICAGO '24
pentagon

SELECTED WORK

Curated projects from 2022 — 2025

TABLE_ATABLE_BJOINSCORE: 0.94
Data Engineering

JOIN DISCOVERY ENGINE

ML-powered tool that auto-discovers valid join relationships across BigQuery tables using FAISS embeddings, statistical sampling, and LLM reasoning.

all_inclusive

RALPH LOOPS

Autonomous AI dev framework for Claude Code with intelligent exit detection, rate limiting, and circuit breaker. 566 tests, 100% pass rate.

AI REFLECTIONGOAL: 67%

VOICE JOURNAL

AI-powered journaling app with voice input, theme-aware reflections, and goal tracking. Next.js + FastAPI + OpenAI Whisper.

AI JOB SEARCH

LLM-powered job automation that scrapes Gmail, extracts postings with GPT-4o, discovers networking contacts, and tailors resumes.

work
VOLUME$2.4MMARKETS1,247WIN RATE68.3%JANMARMAYJUL
Full Stack

MARKET DASHBOARD

Live data pipelines for Kalshi prediction markets and Odds API with FastAPI governance, React dashboards, and BigQuery analytics.

SMART SCRAPER

Dynamic apartment scraping with auto-generated schemas and multi-fallback strategies. 100-1000x faster than LLM extraction.

apartment
NATURAL LANGUAGE"Show top customers by spend"RAG12K QUERIESSCHEMA CTXGEMINI 2.5GENERATED SQL✓SELECT customer_id, SUM(amount) as totalFROM transactionsGROUP BY 1 ORDER BY 2DESC LIMIT 1095% ACCURACY~80% FASTER
GenAI

TEXT-TO-SQL COPILOT

RAG-powered Streamlit app over BigQuery schemas and a 12K-query corpus. 95% SQL accuracy, ~80% faster analysis with auto-visualizations. Gemini 2.5.

smart_toyLLM & RAG Systems
model_trainingML & Statistics
databaseData Engineering
dashboardDashboards & BI
WHO I AM

INSIGHTS INTO IMPACT.

At Walmart, I built a GenAI text-to-SQL copilot (95% accuracy, ~80% faster queries) and ML models over 270M+ customer records. I hold an MS in Applied Data Science from UChicago (4.0 GPA) and won Best in Show for a RAG-powered proposal generator deployed at FTI Consulting.

I'm moving toward Data Scientist and AI Engineer roles where I can apply LLMs, retrieval systems, and ML to solve real problems at scale.

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LET'S BUILD
SOMETHING SMART.

GET IN TOUCH
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