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I'm Pranay, a Senior Data Scientist with over 11 years of experience in AI/ML, specializing in Generative AI, LLMs, agented AI, and production-grade retrieval-augmented generation. I design, build, and deploy GenAI-powered applications using LangChain, LangGraph, and RAG to solve real business problems in healthcare, finance, and telecom. I thrive on turning complex data into actionable insights and scalable solutions that deliver measurable impact. I bring strong cloud, MLOps, and governance capabilities, with hands-on work across AWS, Azure, and GCP, and a track record of integrating knowledge graphs to enhance reasoning and search relevance. I enjoy collaborating with cross-functional teams to translate challenges into reliable AI systems that are transparent, compliant, and sustainable at scale.…I'm Pranay, a Senior Data Scientist with over 11 years of experience in AI/ML, specializing in Generative AI, LLMs, agented AI, and production-grade retrieval-augmented generation. I design, build, and deploy GenAI-powered applications using LangChain, LangGraph, and RAG to solve real business problems in healthcare, finance, and telecom. I thrive on turning complex data into actionable insights and scalable solutions that deliver measurable impact. I bring strong cloud, MLOps, and governance capabilities, with hands-on work across AWS, Azure, and GCP, and a track record of integrating knowledge graphs to enhance reasoning and search relevance. I enjoy collaborating with cross-functional teams to translate challenges into reliable AI systems that are transparent, compliant, and sustainable at scale.

Pranay Kumar Maggidi

Data Scientist, AI Engineer, Full Stack Developer, +4

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I'm Pranay, a Senior Data Scientist with over 11 years of experience in AI/ML, specializing in Generative AI, LLMs, agented AI, and production-grade retrieval-augmented generation. I design, build, and deploy GenAI-powered applications using LangChain, LangGraph, and RAG to solve real business problems in healthcare, finance, and telecom. I thrive on turning complex data into actionable insights and scalable solutions that deliver measurable impact. I bring strong cloud, MLOps, and governance capabilities, with hands-on work across AWS, Azure, and GCP, and a track record of integrating knowledge graphs to enhance reasoning and search relevance. I enjoy collaborating with cross-functional teams to translate challenges into reliable AI systems that are transparent, compliant, and sustainable at scale.…I'm Pranay, a Senior Data Scientist with over 11 years of experience in AI/ML, specializing in Generative AI, LLMs, agented AI, and production-grade retrieval-augmented generation. I design, build, and deploy GenAI-powered applications using LangChain, LangGraph, and RAG to solve real business problems in healthcare, finance, and telecom. I thrive on turning complex data into actionable insights and scalable solutions that deliver measurable impact. I bring strong cloud, MLOps, and governance capabilities, with hands-on work across AWS, Azure, and GCP, and a track record of integrating knowledge graphs to enhance reasoning and search relevance. I enjoy collaborating with cross-functional teams to translate challenges into reliable AI systems that are transparent, compliant, and sustainable at scale.

Available to hire

I’m Pranay, a Senior Data Scientist with over 11 years of experience in AI/ML, specializing in Generative AI, LLMs, agented AI, and production-grade retrieval-augmented generation. I design, build, and deploy GenAI-powered applications using LangChain, LangGraph, and RAG to solve real business problems in healthcare, finance, and telecom. I thrive on turning complex data into actionable insights and scalable solutions that deliver measurable impact.

I bring strong cloud, MLOps, and governance capabilities, with hands-on work across AWS, Azure, and GCP, and a track record of integrating knowledge graphs to enhance reasoning and search relevance. I enjoy collaborating with cross-functional teams to translate challenges into reliable AI systems that are transparent, compliant, and sustainable at scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Data Scientist at T Mobile

March 1, 2023 - Present

Led an end-to-end data science program in the telecommunications domain focused on customer engagement analytics and sales effectiveness. Designed scalable analytical solutions on AWS supporting revenue growth, customer outreach, and compliant decision-making across multiple business units. Implemented causal inference methods (uplift modeling, treatment-effect analysis) to optimize omnichannel campaigns; developed time-series forecasts for sales and engagement; built MCP-style architectures for structured context in GenAI workflows; leveraged LangChain, RAG, and knowledge-graph–enhanced retrieval to improve accuracy and reliability of enterprise AI systems.

Senior AI Engineer at Seagate Technology

April 1, 2020 - February 1, 2023

Drove enterprise-scale data science for data storage and manufacturing, focusing on predictive maintenance, drive reliability analytics, supply chain optimization, and hardware failure prediction using telemetry and sensor data. Built supervised/unsupervised models (Logistic Regression, Random Forest, XGBoost, K-Means, Isolation Forest), estimated Remaining Useful Life (RUL), deployed end-to-end ML pipelines on Azure, and visualized health metrics via Power BI dashboards.

AI Engineer at Bank of America

October 1, 2017 - March 1, 2020

Contributed to enterprise AI initiatives in fraud detection, transaction monitoring, credit risk modeling, and customer analytics across digital banking and payments. Built real-time fraud detection systems on AWS (Lambda, Kinesis), trained credit risk models on large S3/Redshift data, implemented AML/fraud workflows, and delivered explainability through SHAP/LIME with governance and dashboards for leadership.

ML Engineer at Cardinal Health

August 1, 2015 - September 1, 2017

Delivered data-driven healthcare solutions for clinical decision support and operational efficiency. Developed ML pipelines for risk stratification, readmission prediction, and disease progression forecasting; implemented NLP for incident logs and warranty data; used Knowledge Graphs for fraud pattern detection and integrated OCR for document digitization; deployed models via Azure ML and built Power BI/Tableau dashboards for stakeholders.

Data Analyst at Zendesk

January 1, 2014 - July 1, 2015

Executed marketing and e-commerce analytics to understand customer behavior and campaign effectiveness. Built ETL pipelines with Hadoop/Spark, developed RESTful data services with Flask, and created Tableau/Power BI dashboards to track KPIs including conversion, campaign performance, and customer engagement.