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Rahul Agarwal

@rahulagarwal3

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Senior data scientist specializing in ML, GenAI, forecasting, and optimization.

United States

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What I'm looking for

I seek roles building production ML/GenAI systems that align with business goals, emphasize reproducible pipelines, cross-functional collaboration, and measurable impact.

I am a senior data scientist with deep experience building production-ready machine learning and GenAI systems that drive measurable business impact across pharma, insurance, and manufacturing. I design end-to-end solutions — from feature engineering, model selection and interpretability (SHAP) to orchestration and deployment using Kedro, FastAPI, Databricks, Snowflake and vector DBs, and have delivered multi-million dollar outcomes such as $90M incremental revenue and $127M annual savings.

My background spans deep learning (transformers, CNNs, RNNs), classical ML (XGBoost, LightGBM, Random Forest), optimization (CVXPY, Gurobi, MILP) and agentic LLM systems using LangChain/LangGraph and RAG. I prioritize reproducible pipelines, robust evaluation, and clear business-aligned metrics to ensure models translate into operational value.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist I

Current

QuantumBlack, AI by McKinsey & Company

Sep 2022 - Present (3 years 9 months)

Designed recommendation and optimization systems that generated $90M incremental revenue and engineered forecasting and underwriting frameworks that drove $127M in annual savings while reducing manual planning effort by 90%.

Python XGBoost Random Forest CVXPY Gurobi LangGraph Snowflake Kedro

Machine Learning Engineer

AIDoubledot — Cognirel Technologies

Dec 2019 - Jun 2021 (1 year 6 months)

Built a Bidirectional LSTM Java error classifier achieving 97% accuracy for 50K+ concurrent learners and prototyped knowledge-graph QA bots using RNNs and Neo4j to support multi-domain business logic.

Python Java RNN Neo4j Bidirectional LSTM Tokenization Knowledge Graphs NLP Real Time Systems

Associate Software Engineer

Indus Valley Partners

Jun 2018 - Nov 2019 (1 year 5 months)

Improved dashboard render times by 40% via C# and JavaScript refactors and built a multi-tenant monitoring platform with automated telemetry to track job health across distributed client environments.

C++JavaScript SQL React Performance Optimization Async Await Telemetry Backend Engineering

Education

Degrees, certifications, and relevant coursework

University of Minnesota

Master of Science, Business Analytics / Data Science

2021 - 2022

Activities and societies: Carlson Analytics Lab analytics student consultant; projects in NLP, causal inference, and reinforcement learning.

Completed a Master of Science in Business Analytics with a Data Science track, focusing on applied analytics, NLP, and forecasting through consulting projects and coursework.