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EMILY HOMMERDING

Senior Data Scientist  |  Greater Seattle Area  | emhomm4@gmail.com | linkedin.com/in/emily-hommerding | emilyh.me

SUMMARY

Accomplished data scientist specializing in analytics and business intelligence, with a background spanning physics research, software engineering, and AI-assisted development. Proven track record driving measurable product growth through advanced analytics, scalable data pipelines, and cross-functional collaboration.

EXPERIENCE

Senior Data ScientistSenior Software Engineer (Dec 2023 – Dec 2025)
Dec 2023 – Present
Microsoft — Redmond, WA
  • Delivered product insights using time series forecasting, cohort/retention & funnel analysis, k-means clustering, and churn modeling — driving +4M monthly active users and +15pp growth in paid conversion.
  • Partnered with customer advisory teams to identify growth opportunities, resulting in 100K new paid license activations.
  • Applied AI-assisted development tools (Claude Code, Power BI MCP Server) to streamline analytics workflows and reduce time-to-insight.
  • Led AI-first analytics solutions: internal data assistant (Power Apps, Microsoft Copilot Studio), AI-driven dashboarding, and automated planning workflows to scale self-service insights.
  • Designed, built, and maintained 20+ production data pipelines (Scope, Azure Synapse, PySpark, ADF); eliminated 4B+ unnecessary telemetry records/day, reducing COGS.
  • Served as Data Champion for an 800+ person org — defined analytics strategy, hosted office hours, promoted data governance.
  • Launched 35-person allyship program (60%+ knowledge gains), led 200+ member women's professional group, mentored 6 first-gen college interns over 4 years.
Software Engineer II / Software Engineer I
Jul 2017 – Dec 2023
Microsoft — Redmond, WA
  • Contributed to large-scale data pipeline infrastructure; implemented GDPR-compliant data handling and privacy safeguards for 100+ pipelines.
  • Developed new functions in the Power Apps formula language (C#, TypeScript) and enhanced web services; served on 24/7 on-call rotation.
  • Partnered with Red Cross developers to rapidly build Power Apps solutions during the COVID-19 pandemic.
  • Built a visual, interactive server health monitoring tool for Dynamics 365 telemetry using Unity; improved Azure services and CI/CD pipeline efficiency.
Laboratory Physicist
Jul 2016 – Jul 2017
Research International — Monroe, WA
  • Sole developer of a patented Android application (Java, Android Studio) for a chemical/biological detection device; shipped to international production in 2017.
  • Applied computer vision (OpenCV) to automate image analysis of chemical test strips; designed firmware for a custom CPU microcontroller with USB/RS-232 communication.

EDUCATION

Master of Science, PhysicsJune 2016
University of Oregon, Eugene, OR
NSF Graduate Research Fellow. Research in quantum properties of nitrogen vacancy centers in diamond.
Bachelor of Science, Physics — Magna Cum LaudeMay 2013
Illinois Institute of Technology, Chicago, IL
Research in Raman spectroscopy for superconducting RF cavities. Published in Physical Review Special Topics - Accelerators and Beams.

SKILLS

Analytics & BI: Power BI, DAX, PowerQuery, Kusto (KQL), SQL, Analytics, Azure Data Factory, Azure Synapse, PySpark, Scope

Engineering: C#, TypeScript, Python, Java, Android (Java), Unity, C/C++, OpenCV, Azure, CI/CD

AI & Tools: Claude Code, Power BI MCP Server, Microsoft Copilot Studio, Power Apps

CERTIFICATIONS, PATENTS & PUBLICATIONS

Certification: Claude Code in Action

Patent: US20170300779A1 — Android application for chemical/biological detection

Publication: Cao, C., Ford, D., Bishnoi, S., Proslier, T., Albee, B., Hommerding, E., Zasadzinski, J.F. (2013). Detection of surface carbon and hydrocarbons in hot spot regions of niobium superconducting RF cavities by Raman spectroscopy. Physical Review Special Topics - Accelerators and Beams, 16(6).