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Sophia Chadsey

@sophiachadsey

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Data-driven analyst and developer delivering automation, BI, and scalable data solutions.

United States

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What I'm looking for

I seek a data role where I can build automated pipelines, develop BI dashboards, and apply data science to drive measurable business impact in a collaborative environment.

I am a data analyst with a strong foundation in data science and software engineering, grounded in a BA from UC Berkeley. I combine programming, data engineering, and visualization to turn complex datasets into actionable insights for stakeholders.

At AT&T I led high-volume load testing and automated anomaly detection, improving network resiliency and data reliability through tools like Grafana, Jaeger, Linux, and automated frameworks. I have built forecasting and financial dashboards in Power BI and automated data workflows with Power Automate and Python.

My work includes integrating data from Snowflake, SQL, Excel, and Python to produce clear, stakeholder-ready analyses, and I have a track record of eliminating repetitive work—saving 40+ hours per week through automation. I also led prompt-engineering efforts for an internal generative-AI portal and created automated visuals to streamline reporting.

Earlier internships at NASA Langley and SLAC sharpened my dashboarding, preprocessing, UI, and database skills, including building an Oracle Database and developing automated project-status dashboards. I am driven to deliver reliable, scalable data products that accelerate decision-making.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

AT&T

Jul 2023 - Present (2 years 3 months)

Led high-volume load testing and automation for network resiliency, analyzed 500K+ TPS and implemented anomaly detection to improve data reliability and accelerate issue resolution. Built Power BI financial forecasting dashboards and automated workflows that eliminated 40+ hours of manual work weekly while supporting leadership with actionable insights.

Python SQL Snowflake Power BI Power Automate Grafana Selenium Linux Data Visualization

Data Science Intern

NASA Langley Research Center

Jun 2022 - Aug 2022 (2 months)

Built Power BI dashboards to automate visualizations and identified long-term project risk insights; preprocessed and analyzed flight data to automate monthly status reviews for project managers. Designed and developed a project review dashboard user interface to streamline reporting.

Power BI Python data preprocessing Data Visualization Dashboard Design ETL

Software Engineer Intern

SLAC National Accelerator Laboratory

Jun 2020 - Aug 2021 (1 year 2 months)

Optimized multiple websites to improve employee usability, increasing positive ratings by 30%, and built an Oracle database from scratch to streamline data accessibility and accuracy. Presented findings at a national STEM conference on web design impacts.