Emily H is a data and analytics practitioner with a decade of experience helping organizations turn complex data into actionable insights, particularly through Power BI and Microsoft Azure. She has driven analytics and cloud modernization for manufacturing and Tier 1 automotive customers at Microsoft, advising executives and engineering teams on AI adoption and secure, scalable architectures. A hands-on contributor to Microsoft’s Power Fx low-code language, she has improved parser functionality and core formula behaviors, blending product-level engineering with enterprise analytics expertise. Her background in industrial engineering and an MS in Business Analytics from Notre Dame underpin a pragmatic approach to data modeling, forecasting, and automation. Outside the enterprise, she’s writing a travel memoir that explores identity and belonging, signaling a creative curiosity that complements her technical career. Based in Bellevue, WA, Emily combines consulting polish with developer chops to make “everyone a data person.”
10 years of coding experience
Master of Science in Business Analytics, Master of Science in Business Analytics at University of Notre Dame - Mendoza College of Business
Bachelor of Engineering - BE, Industrial Engineering, Bachelor of Engineering - BE, Industrial Engineering at The Ohio State University
Contributions:48 reviews, 11 commits, 25 PRs in 4 months
Contributions summary:Emily primarily contributed to the development of the Power Fx low-code programming language, focusing on parser functionality. Their work included adding a formulas parser, implementing new rule categories, and enhancing existing functionality like `IsValid` and `NamedFormulas`. The commits also involved unit testing and refactoring code, improving the overall functionality of the language's core components. Several commits targeted refactoring existing classes and adjusting functionality.
Contributions:2 PRs, 2 pushes, 3 branches in 8 months
java
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