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Sneha UppuSU
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Sneha Uppu

@snehauppu

I build data pipelines and dashboards that turn complex data into decisions.

United States
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What I'm looking for

I'm looking for a data analyst, data engineer, or analytics role where I can turn complex data into clear recommendations through SQL, Python, databases, and dashboards.

I've consolidated client, intake, CRM, and survey data at Thaddeus Resource Center into unified datasets for more than 100 clients, while presenting actionable findings to organizational leadership. I also led a records migration from Microsoft Teams to SharePoint and Microsoft Lists.

At Wavess AI, I built and deployed a Python and OpenAI API-powered LinkedIn post automation tool for live business clients, reducing manual content-writing work by 40–50%. At PwC, I supported a healthcare Salesforce engagement through access management, QA validation documentation, and stakeholder-ready reports and dashboards.

I'm building CleanCare, a PostgreSQL platform that brings together CMS facility data with an AI chat assistant and web dashboard. My projects also include large-scale ETL, recommendation systems, and FDA safety analysis using SQL, Python, PostgreSQL, Streamlit, Tableau, FastAPI, and DuckDB.

Experience

Work history, roles, and key accomplishments

TC
Current

Data Science Intern

Thaddeus Resource Center

Nov 2025 - Present (9 months)

Consolidated call, intake, and CRM data from multiple systems into unified datasets covering over 100 clients using Python and SQL, validating data integrity as the pipeline scaled to about 1,000 weekly responses. Led a database migration project as team lead, coordinating weekly meetings and moving records from Microsoft Teams into organized SharePoint and Microsoft Lists.

Education

Degrees, certifications, and relevant coursework

The George Washington University logoTU

The George Washington University

Master of Science, Computer Science

Grade: 3.77

Activities and societies: SEAS Merit Award

Pursuing a Master of Science in Computer Science with a GPA of 3.77 and an SEAS Merit Award.

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