I’m a Senior Data Scientist with over 7 years of experience delivering AI and machine learning solutions across healthcare, banking, and retail. My expertise spans predictive modeling, Generative AI, and LLM applications, including GPT, LLaMA, and RAG-based architectures for intelligent automation and personalization. I’m skilled in Python, SQL, PySpark, AWS, and Power BI, with a strong focus on building scalable, production-ready models that drive measurable business impact.

Gangadhara Venkata Sai Krishna Grandhi

I’m a Senior Data Scientist with over 7 years of experience delivering AI and machine learning solutions across healthcare, banking, and retail. My expertise spans predictive modeling, Generative AI, and LLM applications, including GPT, LLaMA, and RAG-based architectures for intelligent automation and personalization. I’m skilled in Python, SQL, PySpark, AWS, and Power BI, with a strong focus on building scalable, production-ready models that drive measurable business impact.

Available to hire

I’m a Senior Data Scientist with over 7 years of experience delivering AI and machine learning solutions across healthcare, banking, and retail. My expertise spans predictive modeling, Generative AI, and LLM applications, including GPT, LLaMA, and RAG-based architectures for intelligent automation and personalization. I’m skilled in Python, SQL, PySpark, AWS, and Power BI, with a strong focus on building scalable, production-ready models that drive measurable business impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Senior Data Scientist at Beal Bank
August 1, 2023 - Present
Led ML/AI initiatives to optimize credit scoring, risk assessment, and customer segmentation, strengthening lending decisions and profitability. Built production-grade ML pipelines in AWS SageMaker; implemented RAG pipelines with LangChain, vector embeddings, and FAISS; developed fraud detection using PyTorch and Scikit-Learn; created real-time dashboards and regulatory reporting; introduced Explainable AI (SHAP, LIME) for governance.
Data Scientist at MetLife
February 1, 2020 - July 1, 2023
Led Claims Automation and Fraud Detection, designing AI solutions to detect fraudulent claims and anomalies across millions of records. Built NLP pipelines, OCR and document processing; fine-tuned transformer models (BERT, RoBERTa, BART) with HuggingFace; deployed REST APIs; established model monitoring and governance; ensured HIPAA and GDPR compliance.
Data Scientist at The Home Depot
September 1, 2018 - March 1, 2020
Led AI-driven product recommendations and search relevance on HomeDepot.com. Analyzed large-scale transactional, behavioral, and clickstream data to predict customer intent; applied Collaborative Filtering, Matrix Factorization, and NLP-based ranking; built scalable ML pipelines (TensorFlow, Scikit-Learn, Databricks) with API deployment; led A/B testing and uplift modeling; created dashboards to track KPIs.

Education

Master’s in Business Analytics at University of Central Oklahoma
January 11, 2030 - December 15, 2025

Qualifications

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Industry Experience

Financial Services, Healthcare, Retail