I am a Senior Data Scientist with 9+ years of end-to-end experience delivering advanced machine learning solutions, predictive analytics, and statistical modeling using Python, R, and SQL across cloud platforms including AWS and Azure. I specialize in applying AI/ML to healthcare operations, including medical coding automation and claims analysis, and I have hands-on experience with containerized ML solutions, MLOps, and building scalable pipelines. I also develop interactive BI dashboards to enable executive decision-making and operational excellence.

G. Manikanth

I am a Senior Data Scientist with 9+ years of end-to-end experience delivering advanced machine learning solutions, predictive analytics, and statistical modeling using Python, R, and SQL across cloud platforms including AWS and Azure. I specialize in applying AI/ML to healthcare operations, including medical coding automation and claims analysis, and I have hands-on experience with containerized ML solutions, MLOps, and building scalable pipelines. I also develop interactive BI dashboards to enable executive decision-making and operational excellence.

Available to hire

I am a Senior Data Scientist with 9+ years of end-to-end experience delivering advanced machine learning solutions, predictive analytics, and statistical modeling using Python, R, and SQL across cloud platforms including AWS and Azure.

I specialize in applying AI/ML to healthcare operations, including medical coding automation and claims analysis, and I have hands-on experience with containerized ML solutions, MLOps, and building scalable pipelines. I also develop interactive BI dashboards to enable executive decision-making and operational excellence.

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Experience Level

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

Senior Data Scientist at Johnson & Johnson
May 1, 2023 - Present
Developed advanced machine learning models to extract predictive insights from structured and semi-structured data, performed exploratory data analysis, and implemented end-to-end ML pipelines with TensorFlow Extended. Applied NLP on customer feedback, designed role-based security in Power BI, and deployed deep learning models with PyTorch. Built data lake architectures in Azure and utilized Hadoop ecosystem for large-scale data processing. Containerized ML workloads on Kubernetes and deployed on Azure ML, and crafted multi-input/multi-output networks with Keras. Created dashboards in Tableau/Power BI and established CI/CD pipelines with Jenkins for scalable, production-ready ML systems.
Senior Data Scientist at Securian Financial
November 1, 2020 - April 1, 2023
Cleaned, transformed, and joined data from multiple sources using SQL and pandas; analyzed model fairness and governance compliance; trained deep learning and traditional statistical models. Automated tasks with Python scripting, built interactive dashboards in Tableau, and leveraged Databricks/EMR for large-scale analytics. Deployed models on AWS SageMaker, designed scalable ML pipelines using Kubernetes Operators, and processed large datasets with Hadoop. Conducted DoE-based experimentation and built data pipelines with AWS Glue and Lambda; implemented neural network architectures in PyTorch and Keras; established CI/CD via Jenkins.
Data Scientist at Trent Ltd
August 1, 2018 - September 1, 2020
Optimized complex SQL queries for ML training and reporting; designed and deployed scalable Azure solutions (Data Factory, Synapse Analytics, Databricks) for data ingestion and advanced analytics. Developed predictive models using SAS Enterprise Miner/Model Studio; automated data tasks with Python; built deep learning models using TensorFlow with attention mechanisms for NLP tasks; created Power BI dashboards and Azure Data Lake workflows; employed Spark MLlib for distributed ML; containerized workflows with Docker and deployed on Kubernetes; used PyTorch for NLP/model experimentation.
Data Analyst at Tata AIA Life Insurance
June 1, 2016 - July 1, 2018
Developed statistical models and visualizations in R; automated data processing with Python; created dashboards in Tableau; designed Azure Data Lake workflows; utilized SAS macros for reporting; monitored AWS services with CloudWatch; explored NLP-focused analyses; containerized environments with Docker; deployed Spark MLlib models on distributed data; implemented Kubernetes-based deployment for scalability and reliability.

Education

BTech in Computer Science and Engineering at JNTUH, India
June 1, 2012 - May 1, 2016

Qualifications

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Industry Experience

Healthcare, Financial Services, Retail, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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