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Momin Khan

@mominkhan5

Principal Data Scientist at Elation Health who built AI agents that cut market-research synthesis time by 40%.

At Elation Health, I lead analytics and AI products for market and competitive intelligence. I built AI agents that extract information from market research and competitor reports, cutting manual synthesis time by 40%.

I also designed document retrieval and evaluation workflows, helping reduce unsafe or unsupported responses from 11% to 2.1%. Earlier, at Wayfair, I developed recommendation systems that lifted product click-through and conversion by a bit over 12% across several categories.

Experience

Work history, roles, and key accomplishments

Current

Principal Data Scientist

Current

Elation Health

Mar 2023 - Present (3 years 7 months)

Led advanced analytics and AI/LLM data products for market and competitive intelligence, building scalable pipelines and AI agents. Drove evaluation, governance, and MLOps initiatives, mentoring teams and securing funding for GenAI initiatives.

Senior Data Scientist / Machine Learning Engineer

Cognizant

Mar 2019 - Feb 2023 (3 years 11 months)

Delivered NLP, statistical modeling, retrieval, and automation solutions for regulated-industry clients. Built and deployed ML models on cloud platforms, improving document processing and enabling real-time monitoring for client executives.

Data Scientist

Wayfair

Jan 2016 - Feb 2019 (3 years 1 month)

Developed and productionized data science solutions for personalization, search relevance, and pricing optimization. Owned end-to-end experimentation, from data exploration to A/B testing and reporting, driving measurable improvements in customer experience and business performance.

Feature Engineering Python Scala MLlib Collaborative Filtering Content Based Filtering A B Testing Causal Inference Bayesian A B Testing R regression Elasticity Analysis PySpark Airflow TensorFlow Keras Text Embeddings Vision Embeddings

Data Analyst / Data Science Associate

Capital One

Jul 2013 - Dec 2015 (2 years 5 months)

Supported credit risk, fraud detection, and financial forecasting through statistical analysis, data automation, and predictive modeling. Collaborated with risk strategy teams to transform raw transaction and behavioral data into actionable insights.