I'm Pooja Vundyala, a Senior Data Scientist with 11+ years of experience delivering data-driven AI solutions across healthcare, enterprise IT, telecom, and financial services. I specialize in data science, machine learning, deep learning, NLP, and generative AI, building scalable systems that turn complex data into actionable business outcomes. I love collaborating with cross-functional teams to translate goals into robust models and governance-ready deployments. I thrive in end-to-end ML life cycles—from data cleaning and feature engineering to model deployment, monitoring, and governance. I’m passionate about responsible AI, transparency, and continuously improving model performance with feedback loops while aligning technical work with strategic business objectives.

Pooja Vundyala

I'm Pooja Vundyala, a Senior Data Scientist with 11+ years of experience delivering data-driven AI solutions across healthcare, enterprise IT, telecom, and financial services. I specialize in data science, machine learning, deep learning, NLP, and generative AI, building scalable systems that turn complex data into actionable business outcomes. I love collaborating with cross-functional teams to translate goals into robust models and governance-ready deployments. I thrive in end-to-end ML life cycles—from data cleaning and feature engineering to model deployment, monitoring, and governance. I’m passionate about responsible AI, transparency, and continuously improving model performance with feedback loops while aligning technical work with strategic business objectives.

Available to hire

I’m Pooja Vundyala, a Senior Data Scientist with 11+ years of experience delivering data-driven AI solutions across healthcare, enterprise IT, telecom, and financial services. I specialize in data science, machine learning, deep learning, NLP, and generative AI, building scalable systems that turn complex data into actionable business outcomes. I love collaborating with cross-functional teams to translate goals into robust models and governance-ready deployments.

I thrive in end-to-end ML life cycles—from data cleaning and feature engineering to model deployment, monitoring, and governance. I’m passionate about responsible AI, transparency, and continuously improving model performance with feedback loops while aligning technical work with strategic business objectives.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Gen-AI Engineer at T-Mobile
March 1, 2023 - Present
Designed and deployed generative AI pipelines integrating large language models (GPT-4, LLaMA, Claude, Falcon) to automate content generation, summarization, and documentation workflows. Built Retrieval-Augmented Generation (RAG) systems using LangChain, LlamaIndex, Pinecone, and FAISS for context-aware QA across enterprise knowledge bases. Finetuned foundation/transformer models (LoRA/QLoRA/PEFT) for telecom/domain-specific use cases; established AI governance, privacy, and security controls; enabled scalable, reproducible production deployment with monitoring.
AI/ML Engineer at Blue Cross and Blue Shield
May 1, 2021 - February 28, 2023
Built and optimized ML/AI solutions for healthcare policy/claims analytics, leveraging NLP, time-series modeling, and risk scoring. Implemented end-to-end ML pipelines for claims processing, fraud detection, and member engagement, with robust monitoring and governance to ensure reliability and regulatory compliance.
Data Scientist at Fidelity Investments
January 1, 2017 - April 30, 2021
Developed predictive models for portfolio risk, claims processing, and client lifetime value. Applied NLP to financial news and client communications; built ML pipelines for risk scoring, churn prediction, and investment strategy insights; improved decision-making accuracy and operational efficiency.
Data Scientist at State of Minnesota
January 1, 2014 - December 31, 2016
Designed and deployed ML solutions across government programs, performed exploratory data analysis, hypothesis testing, and dashboarding to inform policy decisions; delivered data storytelling and KPI monitoring for public-sector initiatives.

Education

Bachelor's in Computer Science at Osmania University College for Women, India
July 1, 2009 - May 31, 2012
Master's in Computer Science at University of North Texas, United States
August 1, 2012 - December 31, 2013

Qualifications

Databricks Associate Gen AI Engineer
January 11, 2030 - January 5, 2026
Azure Data Scientist Associate
January 11, 2030 - January 5, 2026

Industry Experience

Healthcare, Telecommunications, Financial Services, Software & Internet, Government, Media & Entertainment