Shyam Prabhakar
Portfolio — Data Science & AI

Shyam Prabhakar

Director of Data Science

9+ years in consumer lending & fintech. I build and own the production ML & decision systems the business runs on, and I'm reinventing how the data science & analytics function operates with agentic AI.

Leading models, decisions & the shift to agentic AI.

Director of Data Science at a fintech company, with 9+ years in consumer lending. I build and own the production ML and decision systems the business runs on — underwriting, acquisition, and fraud — and I'm reinventing how the data science & analytics function operates with agentic AI: human-in-the-loop pipelines and a business knowledge base that ground our tooling in how the company actually works.

I turn a business's data into durable, compounding assets that cut cost, unlock scale, and build a lasting competitive edge. Independently, I build LLM-powered projects with modern agentic coding tools and compete on Kaggle across deep learning, LLMs, computer vision, and time series.

Languages
PythonSQLCypher
Machine Learning
Production ML systems & monitoringSupervised / Unsupervised MLGraph analyticsDeep learningExperimentation & A/B testing
Platforms & Data
Google BigQueryNeo4jMySQLTableauLooker
AI Development
Agentic AI pipelines & systemsAgentic coding tools (Cursor, Claude Code, Codex, Gemini CLI)RAG & knowledge basesLLM applicationsLLM fine-tuning & evaluation

Projects & competitions

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Kaggle competitions

A hands-on learning journey across NLP, computer vision, time series & tabular ML
CompetitionFocus & approach
PII Data Detection PII detection in student essays — DeBERTa NER, synthetic data, ONNX ensemble
Google Research Football Rule-based game-playing agent for 11v11 simulated football
Ventilator Pressure Prediction Airway-pressure sequence modeling — BiLSTM ensemble
LLM Science Exam Retrieval-augmented multi-model inference (DeBERTa-v3, LongFormer)
Amex Default Prediction Credit-default prediction — 1500+ feature stacking ensemble
SIIM COVID-19 Detection Chest-imaging classification + opacity detection
Optiver Realized Volatility High-frequency volatility from order-book data (LGBM)
Shopee Price Match Multimodal product matching — image + text embeddings
Jane Street Market Prediction Real-time trading-signal modeling — GBDT ensemble
Santa 2020 Multi-armed-bandit agent — decision-tree / XGBoost payout models
Child Mind — Sleep States Sleep-state detection from accelerometer time series (GRU-UNet)
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LLM Applications

Exploring what's possible with LLMs, in real products
ProjectWhat it isLinks
OpenMath Offline, multilingual AI math tutor — Gemma 4 + Ollama, function-calling agent, worksheet-photo vision
FreetCode Free, browser-native coding practice (Python + SQL) with an on-device AI tutor · live at freetcode.com
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