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I'm Prathyusha, a Senior Data Scientist with 9 years of experience focusing on insurance and healthcare. I enjoy turning large, messy datasets into actionable insights by building predictive models in Python and deploying NLP pipelines that streamline document review and underwriting. I collaborate with clinicians, actuaries, and business leaders to design end-to-end ML solutions on AWS, Azure, and Google Cloud—from fraud detection and claims risk assessment to personalized policy recommendations. I'm passionate about making data-driven decisions accessible and scalable across remote, client-facing environments.…I'm Prathyusha, a Senior Data Scientist with 9 years of experience focusing on insurance and healthcare. I enjoy turning large, messy datasets into actionable insights by building predictive models in Python and deploying NLP pipelines that streamline document review and underwriting. I collaborate with clinicians, actuaries, and business leaders to design end-to-end ML solutions on AWS, Azure, and Google Cloud—from fraud detection and claims risk assessment to personalized policy recommendations. I'm passionate about making data-driven decisions accessible and scalable across remote, client-facing environments.

Prathyusha

Data Scientist, AI Engineer, AI Developer, +3

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I'm Prathyusha, a Senior Data Scientist with 9 years of experience focusing on insurance and healthcare. I enjoy turning large, messy datasets into actionable insights by building predictive models in Python and deploying NLP pipelines that streamline document review and underwriting. I collaborate with clinicians, actuaries, and business leaders to design end-to-end ML solutions on AWS, Azure, and Google Cloud—from fraud detection and claims risk assessment to personalized policy recommendations. I'm passionate about making data-driven decisions accessible and scalable across remote, client-facing environments.…I'm Prathyusha, a Senior Data Scientist with 9 years of experience focusing on insurance and healthcare. I enjoy turning large, messy datasets into actionable insights by building predictive models in Python and deploying NLP pipelines that streamline document review and underwriting. I collaborate with clinicians, actuaries, and business leaders to design end-to-end ML solutions on AWS, Azure, and Google Cloud—from fraud detection and claims risk assessment to personalized policy recommendations. I'm passionate about making data-driven decisions accessible and scalable across remote, client-facing environments.

Available to hire

I’m Prathyusha, a Senior Data Scientist with 9 years of experience focusing on insurance and healthcare. I enjoy turning large, messy datasets into actionable insights by building predictive models in Python and deploying NLP pipelines that streamline document review and underwriting. I collaborate with clinicians, actuaries, and business leaders to design end-to-end ML solutions on AWS, Azure, and Google Cloud—from fraud detection and claims risk assessment to personalized policy recommendations. I’m passionate about making data-driven decisions accessible and scalable across remote, client-facing environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Data Scientist (Gen AI) at QTC

January 1, 2024 - Present

Led development and deployment of NLP models to extract and categorize critical health-related information from insurance documents, built an end-to-end real-time data pipeline, and designed a personalized insurance policy recommendations system to improve claim processing efficiency and policy match relevance. Collaborated with healthcare professionals to detect fraud and applied generative AI techniques to automate document generation. Mentored junior scientists and implemented CI/CD pipelines for scalable model deployment.

Data Scientist at Liberty Mutual

January 1, 2021 - December 1, 2023

Developed Python ML models on Azure AKS for risk analysis and customer retention; built NLP pipelines with Anthropic Claude and Azure Cognitive Services to extract policy details from unstructured documents; deployed deep learning models for fraud detection and improved processing speed; implemented data processing pipelines with Azure Data Factory and Databricks; created dashboards in Power BI to monitor model performance.

ML Engineer at ADP

January 1, 2020 - August 1, 2021

Developed and deployed ML models to automate payroll processes, built NLP models for employee sentiment analysis, created APIs with Azure Functions for seamless integration, and designed automated workflows to validate payroll data; developed models to predict employee churn and tailored HR analytics, improving retention strategies.

ML Engineer at PK Technoworld

June 1, 2017 - October 1, 2019

Designed and deployed ML models to predict customer behavior, built a Python-based recommendation engine with XGBoost and PostgreSQL, containerized with Docker and automated via Jenkins; implemented customer segmentation and data pipelines to support marketing campaigns.

Junior Data Scientist at Luxoft India Pvt. Ltd

October 1, 2015 - May 1, 2017

Developed predictive models for sales forecasting and inventory optimization; performed EDA with Seaborn/Matplotlib; built data processing pipelines with Hive and SQL Server; implemented ML workflows with Azure Databricks and Airflow; created dashboards in Excel and Power BI.