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Pujitha Tallapelly

@pujithatallapelly

I build enterprise Power BI models, dashboards, and data pipelines for reliable business decisions.

United States
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What I'm looking for

I'm looking to build scalable, governed analytics solutions that turn enterprise data into trusted reporting, automation, and AI/ML-ready datasets. I value cross-functional collaboration, modern cloud data platforms, and opportunities to improve data quality, performance, and user adoption.

At EPIC, I build reusable enterprise Power BI semantic models, interactive dashboards, and multi-source data pipelines that support scalable reporting and accurate business decisions. I work across SQL Server, SharePoint, Excel, Azure Databricks, and cloud data sources.

I develop advanced DAX measures, optimize models with DAX Studio, Tabular Editor, and VertiPaq analysis, and administer Power BI Service environments with secure publishing, scheduled refreshes, gateways, deployment pipelines, and Row-Level Security. I also use Databricks, MLflow, and Spark MLlib to prepare curated datasets for forecasting, anomaly detection, and customer segmentation.

Previously at Juniper Networks, I improved reporting efficiency by 30% through interactive Tableau dashboards, SQL optimization, SSIS pipelines, Python automation, and Tableau Server administration. At TransUnion India, I delivered Power BI dashboards, star-schema data models, SSIS workflows, Power Automate flows, and Power Apps connected to SQL Server and SharePoint.

I'm focused on translating business KPIs into governed, high-performance analytics solutions, partnering closely with business users, product owners, IT, data engineering teams, and stakeholders through requirements gathering, UAT, production support, and end-user training.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

University of Alabama at Birmingham logoUB

University of Alabama at Birmingham

Master of Science, Computer Science

Pursued a Master's degree in Computer Science, graduating in May 2025.

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