Hello, I’m Priya Duvvala, a senior data scientist with 8+ years of experience turning complex data into actionable insights and scalable AI solutions across finance, healthcare, and technology. I enjoy building end-to-end data pipelines, deploying robust ML models, and collaborating with cross-functional teams to drive business impact. I’m passionate about applying NLP, transformer-based models, and GenAI to real-world problems, and I thrive in MLOps environments that emphasize reliability, governance, and measurable outcomes.

Priya Duvvala

Hello, I’m Priya Duvvala, a senior data scientist with 8+ years of experience turning complex data into actionable insights and scalable AI solutions across finance, healthcare, and technology. I enjoy building end-to-end data pipelines, deploying robust ML models, and collaborating with cross-functional teams to drive business impact. I’m passionate about applying NLP, transformer-based models, and GenAI to real-world problems, and I thrive in MLOps environments that emphasize reliability, governance, and measurable outcomes.

Available to hire

Hello, I’m Priya Duvvala, a senior data scientist with 8+ years of experience turning complex data into actionable insights and scalable AI solutions across finance, healthcare, and technology. I enjoy building end-to-end data pipelines, deploying robust ML models, and collaborating with cross-functional teams to drive business impact.

I’m passionate about applying NLP, transformer-based models, and GenAI to real-world problems, and I thrive in MLOps environments that emphasize reliability, governance, and measurable outcomes.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

Afar
Advanced

Work Experience

Sr. Data Scientist – AI ML at Prince William Water
October 1, 2024 - Present
Designed and deployed end-to-end ML pipelines using Kubeflow, Airflow, and Databricks, integrating Delta Lake for scalable data storage and feature management with Feast and Tecton. Built gradient boosting models with LightGBM, tracked experiments with Weights & Biases and Neptune.ai, and automated model deployment via GitHub Actions. Implemented LangChain-based orchestration, RAG retrieval, anomaly detection, and visualized metrics with TensorBoard. Led data governance using Alation/Collibra and automated data validation with Great Expectations; scaled workloads on Google Cloud Platform Vertex AI; built dashboards in Power BI and Streamlit to monitor KPIs. Led ETL redesigns and anomaly detection on SCADA data, and mentored junior analysts.
Data Scientist at JPW Industries
August 1, 2023 - September 1, 2024
Updated margins for Asia manufacturing; built standardized benchmark reporting, forecasting, margins analysis, and profit elimination for 1M+ lines of data. Collaborated with FP&A, Accounting, and Supply Chain; utilized Phocas and Power BI for real-time reporting; designed and deployed NLP-based financial document processing with transformer models; applied transfer learning; deployed models on AWS using S3/EC2/Lambda; tracked experiments with MLflow; automated data pipelines; contributed to budget forecasting and anomaly detection; integrated Snowflake-driven ETL and JD Edwards data for financial reporting.
Data Scientist at Step Up for Students
February 1, 2023 - July 1, 2023
Addressed data quality across funding data; reconciled reports; automated data cleaning and analysis for financial reporting. Built risk and forecasting models using ensembles (Random Forest, XGBoost, DNN); developed time-series forecasts (Prophet, LSTM, ARIMA); wrote complex SQL to extract data; used MLflow to track experiments; experimented with Hugging Face NLP for sentiment and document processing; built Power BI information marts for program leaders; documented ETL and validation steps; delivered dashboards to inform funding decisions.
Data Scientist / Data Analyst at MB MEDICAL PLLC
January 1, 2022 - December 1, 2022
Integrated and wrangled patient and provider data; built Snowflake data models for provider incentive programs; automated incentive payments; performed data mapping from source systems; conducted EDA and visualizations for healthcare analytics; migrated datasets from on-prem SQL to Snowflake; created dashboards in Power BI; performed risk analysis using SAS and R; collaborated with finance and operations on reporting and reconciliation; implemented data quality checks with Great Expectations.
Data Analyst at Think & Learn Pvt. Ltd
July 1, 2019 - August 1, 2021
Processed and modeled student and program data; built predictive models in Python and R; designed SQL/SSIS-based ETL pipelines; created dashboard visuals in Tableau and Power BI; performed text analysis and sentiment analysis on provider/education data; integrated SAP data for reporting; implemented AB testing; created KPI dashboards and self-service analytics; collaborated with cross-functional teams to optimize budgets and resources.
Data Analyst at Paytm
April 1, 2018 - June 1, 2019
Led fraud detection and risk analytics; built data pipelines using SQL, Python, and Hadoop ecosystem; performed data wrangling in PySpark; developed Tableau dashboards to monitor transactions; automated monthly incentive payments and reconciliations; integrated data from MySQL, PostgreSQL, and AWS Redshift; supported marketing analytics and campaign analysis; implemented A/B tests.
Intern – Software Developer at Think & Learn Pvt. Ltd
December 1, 2017 - March 1, 2018
Optimized front-end responsiveness, designed APIs using Java and Spring Framework, and refined SQL database queries in high-traffic environments to improve performance. Gained experience in JavaScript, Java, and backend integration.

Education

Master of Science in Computer Science at Lewis University
January 11, 2030 - May 5, 2026
Bachelor of Technology in Computer Science & Engineering at Malla Reddy Institute of Technology and Science
January 11, 2030 - May 5, 2026

Qualifications

AWS Certified Solutions Architect
January 11, 2030 - May 5, 2026

Industry Experience

Software & Internet, Financial Services, Healthcare, Education, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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