Available to hire
I am Akshay Kumar Reddy Pagidiyala, a data scientist and GenAI engineer with 11+ years of experience delivering enterprise-scale AI and analytics solutions across finance, healthcare, retail, and telecom. I transform raw data into actionable insights by combining statistical modeling, machine learning, and strong business understanding, and I have led GenAI deployments using GPT-4, LangChain, and Transformer architectures to build intelligent chatbots, automated workflows, and document analysis.
I enjoy partnering with business leaders to translate strategy into measurable results, guiding cross-functional teams, and mentoring junior engineers. I emphasize explainability, responsible AI, and governance, and I continuously upskill by applying the latest AI research to enterprise use cases.
Skills
Language
English
Fluent
Work Experience
Data Scientist – GenAI Engineer at JPMorgan Chase
July 1, 2022 - November 11, 2025Led a cross-functional AI/ML team to develop a large-scale contract management platform using GPT-4, LangChain, and Azure ML, automating clause extraction and review and reducing contract processing time by over 60%. Built NLP pipelines for clause extraction, entity recognition, and sentiment analysis; developed intelligent chatbots integrated with Azure Cognitive Services for real-time compliance support; fine-tuned domain-specific LLMs for summarization and classification; implemented SHAP/LIME explainability and Azure Responsible AI Dashboard; enabled RAG search using FAISS/Pinecone; automated retraining pipelines with MLflow and Azure DevOps CI/CD; containerized microservices on AKS for scalable inference; integrated AI outputs into Azure Synapse Analytics and Power BI dashboards for leadership reporting.
Data Scientist – GenAI Engineer at JP Morgan Chase
July 1, 2022 - PresentLed a cross-functional AI/ML team to develop a large-scale contract management platform using GPT-4, LangChain, and Azure ML to automate clause extraction and review, reducing contract processing time by over 60%. Built NLP pipelines for clause extraction, entity recognition, sentiment analysis, and knowledge access to simplify complex documents for legal and compliance teams. Deployed intelligent chatbots using Azure Cognitive Services for real-time compliance queries and integrated semantic search with FAISS/Pinecone for Retrieval-Augmented Generation across thousands of contracts. Fine-tuned domain-specific LLMs (BERT, GPT) with few-shot learning and prompt engineering to improve accuracy and context. Implemented SHAP/LIME explainability, and the Azure Responsible AI dashboard to ensure transparency and ethical use. Produced end-to-end ML pipelines with Transformer models, Bayesian inference, and generative methods; supervised learning for risk detection and anomaly detection. Autom
AI Engineer at Walmart
June 1, 2022 - June 1, 2022Designed and deployed end-to-end Azure-based data pipelines (Azure Data Factory, Azure Databricks, Azure HDInsight) to extract, clean, and load complex datasets into dimensional models; performed EDA on Azure Databricks; optimized high-dimensional data in ADLS with PCA and feature selection; built scalable AI algorithms for predictive maintenance, anomaly detection, and optimization; applied reinforcement learning (MDPs, Q-learning, policy gradient) in Azure ML; developed NLP pipelines and deployed production-grade AI services via AKS; built Power BI dashboards and governed data with Azure Purview; optimized costs and resources; mentored junior engineers.
AI Engineer at Walmart
June 1, 2022 - October 24, 2025Designed and implemented end-to-end Azure-based data pipelines using Azure Data Factory, Azure Databricks, and HDInsight to ingest, transform, and load complex datasets into dimensional models for analytics, reducing data latency and improving accessibility. Performed EDA with PySpark, SparkSQL, Pandas, and Matplotlib to uncover patterns and engineer features. Applied PCA and feature selection to optimize high-dimensional datasets. Built scalable AI algorithms for predictive maintenance, anomaly detection, and optimization using Azure ML; explored BFS/DFS search and reinforcement learning (MDPs, Q-learning) for decision processes. Developed NLP pipelines and deep learning models on Azure GPU clusters for unstructured data. Deployed production-grade AI services via AKS and automated CI/CD with Azure DevOps; integrated with Power BI dashboards and Azure Synapse Analytics. Implemented Azure Purview for governance; optimized costs through cluster tuning; promoted Agile practices and cross-
ML Engineer at Aetna
February 1, 2019 - February 1, 2019Designed and deployed classification and forecasting models (Logistic Regression, SVM, Random Forest) for claims and churn forecasting; implemented AWS Glue ETL and PySpark on EMR for scalable data prep; performed feature selection, scaling, PCA; conducted hyperparameter tuning and cross-validation; built customer segmentation with K-Means/DBSCAN; monitored production models with MLflow and retrained endpoints; deployed GPU-based inference via TensorFlow Serving/TorchServe and containerized services with Kubernetes (EKS); built interpretability with SHAP/LIME; created dashboards in Power BI for operational teams.
ML Engineer at Aetna
February 1, 2019 - October 24, 2025Developed classification and forecasting models (Logistic Regression, SVM, Random Forest, Naive Bayes, K-Means) on AWS SageMaker to improve claims forecasting and KPI accuracy by 15%. Built churn/renewals models; processed large-scale data with AWS Glue and PySpark on EMR; performed feature selection, scaling, and PCA; used cross-validation and hyperparameter tuning. Created customer segmentation with K-Means/DBSCAN; monitored production models with MLflow and retraining triggers. Engineered GPU-accelerated inference with TensorFlow Serving and TorchServe; containerized services with Docker and Kubernetes (EKS). Designed AI-driven optimization for predictive maintenance and anomaly detection; built NLP pipelines; produced dashboards with Power BI. Implemented model versioning, feature stores (MLflow, DVC, Feast); ensured GDPR/CCPA compliance; mentored juniors; promoted Responsible AI and cross-functional collaboration.
Data Analyst at Coca-Cola
November 1, 2016 - November 1, 2016Conducted end-to-end data analysis, migration, and preparation using Azure SQL Database and SSIS, consolidating datasets for customer segmentation, marketing optimization, and reporting automation; built predictive models in Python/R; designed and optimized SQL queries across Azure SQL Database and Oracle; built ETL pipelines with SSIS, Azure Data Factory, and Python; developed OLAP/OLTP data marts with SSAS to support Power BI/Tableau dashboards; automated data quality checks and governance, processed data with Hadoop/Hive, and delivered self-service analytics.
Data Analyst at Coca-Cola
November 1, 2016 - October 24, 2025Conducted end-to-end data analysis, migration, and preparation using Azure SQL Database and SSIS, consolidating datasets to support customer segmentation, marketing optimization, and reporting automation. Developed predictive models in Python and R for forecasting and trend analysis; designed and optimized SQL queries across Azure SQL Database and Oracle. Built ETL pipelines with SSIS, Azure Data Factory, and Python scripts; designed OLAP/OLTP data models with SSAS; delivered Power BI/Tableau dashboards for real-time BI. Implemented automated data validation, leveraged Hadoop/Hive on HDInsight, and collaborated with cross-functional teams to align analytics with business goals. Automated data refresh cycles and mentored junior analysts on SQL performance, ETL, and dashboard development.
Education
Master of Science in Computer Science at Illinois Institute of Technology, Chicago, Illinois, USA
January 11, 2030 - December 1, 2013Bachelor of Technology in Electronics and Communication Engineering at Jawaharlal Nehru Technological university, Hyderabad, India
January 11, 2030 - May 1, 2011Master of Science in Computer Science at Illinois Institute of Technology, Chicago, Illinois, USA
January 11, 2030 - December 1, 2013Bachelor of Technology in Electronics and Communication Engineering at Jawaharlal Nehru Technological University, Hyderabad, India
January 11, 2030 - May 1, 2011Qualifications
Databricks Certified Generative AI Engineer
January 11, 2030 - October 24, 2025TensorFlow Developer
January 11, 2030 - October 24, 2025Microsoft Certified Azure Data Scientist Associate
January 11, 2030 - October 24, 2025Industry Experience
Financial Services, Software & Internet, Retail, Healthcare, Professional Services
Skills
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