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Vaibhav Tyagi

@vaibhavtyagi1

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Senior Data Scientist at Deloitte building LLM products, including automation that cut brochure creation effort by 85%.

India

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What I'm looking for

I'm seeking leadership roles in data science and AI product management.

At Deloitte, I lead AI product initiatives for a U.S. insurance client, including LLM-powered tools that automated policy document scraping and content generation, reducing brochure creation effort by 85%.

I architected and deployed a RAG-based compliance assistant for an Australian bank. It resolves queries from internal policy documents and cut audit response times by 60%.

I also led development of an AI-driven competitive intelligence product using LLMs and web scraping to monitor FDA Form 483 warning letters for pharmaceutical clients.

Earlier, I directed campaign uplift modeling at Fractal Analytics, led health insurance ML work at Tech Mahindra, and developed a policy churn prediction system at Infosys. My work spans predictive modeling, LLM products, and AI product delivery across insurance, banking, and pharmaceuticals.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Deloitte

Mar 2022 - Present (4 years 7 months)

Lead AI product initiatives for a top U.S. insurance client, managing end-to-end delivery of LLM-powered automation tools. Architected and deployed a RAG-based compliance assistant for an Australian bank, cutting audit response times by 60%.

LLM RAG Fine Tuning Prompt Engineering Agentic Workflows Python SQL API Design Scalable Inference UI Integration Agile Delivery Team Mentoring Client Stakeholder Management

Senior Consultant – Data Science

Fractal Analytics

Jun 2019 - Mar 2022 (2 years 9 months)

Directed development of uplift models for campaign targeting at a U.S. home insurance firm using GBM, driving a 23% incremental conversion lift. Led customer segmentation initiatives using unsupervised learning, enabling personalized retention strategies.

Gradient Boosting Uplift Modeling Customer Segmentation Unsupervised Learning Python SQL A B Testing

Associate Team Lead – ML

Tech Mahindra

Jul 2018 - May 2019 (10 months)

Led ML workstream for health insurance analytics, delivering fraud detection and early dropout risk prediction models to reduce claims leakage.

Machine Learning Fraud Detection Risk Prediction Python SQL

Senior Systems Engineer

Infosys

Jun 2014 - Jul 2018 (4 years 1 month)

Developed policy churn prediction system (76% accuracy) using Random Forest, GBM, and Cox survival models; client implemented retention actions yielding 38% annual profit increase.

Random Forest Gradient Boosting Survival Analysis Predictive modelling Python SQL