NAGA BALAJI PUTIREDDY
Mumbai
Summary
Innovative and results-driven Data Scientist with strong expertise in Generative AI, LLMs, and Machine Learning, leveraging over 3 years of hands-on experience in building production-grade AI and data-driven solutions in the insurance industry. Proficient in designing and deploying RAG-based conversational systems, real-time voice assistants, and predictive analytics models.
Overview
3
3
years of professional experience
Work History
Data Scientist
ICICI Lombard GIC
Mumbai
07.2022 - Current
- Voice Bot (Real-time Conversational AI Assistant) - Developed a production-grade multilingual (English, Hindi) voice bot for ICICI Lombard using Azure GPT-4, FastAPI, and Azure TTS, enabling real-time insurance sales conversations with RAG-based policy document retrieval, intent recognition within a Pipecat architecture, and achieving sub-2 s response latency.
- Knowledge Bot (RAG-based Conversational Chatbot) - Designed and deployed a Retrieval-Augmented Generation (RAG)-based knowledge bot using Azure GPT-4 and embedding models to interpret and answer FAQs from diverse insurance policy documents.
- Google Analytics – Lead Classification System: Developed an end-to-end machine learning pipeline to classify and prioritize insurance leads (Health and Motor) in real time. Designed robust data preprocessing and feature engineering workflows to extract behavioral and product-level insights from web activity logs. Trained and optimized classification models to identify high-potential leads in predicting conversion likelihood.
- Developed a strategic analytics platform to estimate the insurance market size for the Commercial Vehicle (CV) business, empowering 3,000+ employees (from CXOs to sales executives) across India with real-time market opportunity and profitability insights. The tool drove data-driven decision-making, contributing to market share growth from 6.25% to 6.9%, and improved sourcing efficiency and profitability within a year.
- Additionally, I worked on an automation project that reduced manual effort in generating loss costs, decreasing processing time from 8 to 3 days, achieving a time reduction of 62.5%.
Education
Master of Technology - Mechanical Engineering
Indian Institute of Technology Madras
(CGPA - 9.17)01-2022
Bachelor of Technology - Mechanical Engineering
Andhra University, Vishakhapatnam
(CGPA - 7.83)01-2019
Skills
- Generative AI LLM RAG-based systems Predictive modeling Descriptive analytics Machine learning Statistical analysis
- ML models: regression models, classification models, clustering
- Data & Integration Services: Azure Data Factory, Azure Synapse Analytics, Function Apps, Web apps
- Languages: Python, PySpark, SQL
- Data analysis and visualization tools: Tableau, Power BI, Pandas, scikit-learn, NumPy, Matplotlib, Seaborn, and MS Excel
- Others: VS Code, Anaconda, Spyder, SSMS, Postman, Databricks
VOLUNTEER EXPERIENCE
- Visited schools to perform eye check-ups and provided corrective glasses to underprivileged students
Accomplishments
- One IL 1 Team award in FY 25 for Excellence, recognized for estimating insurance market opportunity for the Commercial Vehicles (CV) which contributing to market share growth from 6.25% to 6.9%
- Rising Star Award for H2 FY'24, recognized for end-to-end execution of the Google Analytics Lead Classification project, which enhanced lead targeting and significantly optimized call center efficiency
Timeline
Data Scientist
ICICI Lombard GIC
07.2022 - Current
Master of Technology - Mechanical Engineering
Indian Institute of Technology Madras
Bachelor of Technology - Mechanical Engineering
Andhra University, Vishakhapatnam
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