Ravi Teja
Data Scientist @Partners Health Management
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WORK HISTORY
Data Scientist @Partners Health Management
Charlotte, NC, US
Built production-grade fraud detection models using CatBoost and XGBoost, reducing financial losses by $2.5M while improving precision and recall across high-risk transactionsDeveloped churn, credit risk, and customer segmentation models supporting 400K+ applications per month, directly influencing underwriting and retention strategiesLed A/B testing initiatives across 220 retail locations, generating $2.5M in incremental revenue uplift through data-driven optimizationPartnered with product, risk, and business stakeholders to translate requirements into scalable, production-ready ML pipelines on AWS and AzureMentored ML teams on Generative AI, LLMOps, model monitoring, and governance best practices
ABOUT RAVI TEJA
I build production-grade ML and GenAI systems that save millions, scale to hundreds of thousands of users, and run reliably in enterprise environments.Senior Data Scientist and Machine Learning Engineer with 5+ years of experience building production-ready AI solutions on AWS and Azure across healthcare, finance, and retail.Senior Data Scientist and Machine Learning Engineer with 5+ years of experience building production-grade AI, Machine Learning, and Generative AI (GenAI) systems on AWS and Azure across healthcare, finance, and retail.I specialize in end-to-end ML and AI system development — including EDA, feature engineering, model training, deployment, monitoring, and drift detection — with a strong focus on scalable, production-ready solutions.Business impact highlights:Built GenAI and NLP solutions using Large Language Models (LLMs) that summarized documents, saving teams hours weeklyImproved diagnostic accuracy by 18% in healthcare analytics use casesDelivered $2.5M+ loss reduction and revenue uplift through fraud detection, risk modeling, and A/B testingOptimized operations across 2,200+ retail locations using predictive analyticsCore skills: Python, SQL, Statistics, Machine Learning, Generative AI, LLMs, Agentic AI, Prompt Engineering, PySpark, MLOps / LLMOps, AWS (SageMaker), Azure, and model governance.Actively seeking US-based Full-Time, W2, or C2C roles as a Senior Data Scientist, ML Engineer, or AI Engineer, where AI drives real-world business outcomes.
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