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Deena Kurapati

@deenakurapati

Data engineer and analytics leader building cloud pipelines and executive reporting.

United States
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What I'm looking for

I’m looking for a role where I can own end-to-end data solutions—building cloud pipelines, dependable data models, and executive dashboards—by partnering with stakeholders and improving data quality through automation and governance.

I’ve led end-to-end data and analytics solutions at Health Care Authority, translating complex healthcare and policy requirements into scalable data models, cloud-based pipelines, and Power BI dashboards. I’ve standardized reusable marts for leadership reporting, built validation for data integrity, and automated recurring reports with Snowflake and Power BI to reduce manual effort by 60%.

Before that, I worked at IBM and Infosys on Azure-based ETL, KPI reporting, and machine-learning solutions—migrating raw data into dashboards (35% process efficiency improvement) and designing unified repositories that increased data access by 65%. I also supported advanced machine learning coursework as a teaching assistant, and I hold a Master of Science in Data Science from UMass Dartmouth.

Experience

Work history, roles, and key accomplishments

UD

Teaching Assistant

UMASS Dartmouth

Jan 2024 - May 2024 (4 months)

Facilitated Advanced Machine Learning course for 60 students and conducted Advanced Mathematical Statistics labs. Provided one-on-one guidance during office hours and lab sessions.

IL

Data Analyst

Jan 2017 - Dec 2018 (1 year 11 months)

Leveraged KPI metrics to assess recruiter efficiency and employee churn, reducing hiring costs for Unilever by 25%. Designed over 20 Power BI dashboards and implemented OLTP/OLAP systems.

Education

Degrees, certifications, and relevant coursework

University of Massachusetts Dartmouth logoUD

University of Massachusetts Dartmouth

Master of Science, Data Science

2022 - 2024

Grade: 3.9

Master of Science in Data Science with a GPA of 3.9. Coursework included Artificial Intelligence, Advanced Machine Learning, Database Design, High Performance Scientific Computing, Advanced Mathematical Statistics, Advanced Data Mining, and Data Visualization.

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