Haixin Chen is a data scientist with a decade of professional experience and dual master's degrees in Data Science (UWA) and Industrial & Organizational Psychology (George Mason), combining rigorous technical skills with human-centered analytics. Based in Perth, she builds forecasting and predictive models for electricity demand and battery degradation at Synergy, turning large-scale Databricks and PySpark pipelines into actionable insights via Power BI and storytelling. Her background in I/O psychology informs her strengths in survey design, job analysis, and behavioral assessment, enabling stronger user personas and risk matrices for AI governance. Comfortable across Python, R, SQL and visualization tools, she bridges statistical methods (SEM, factor/path analysis) with practical ML deployment for commercial outcomes. Notably, she has translated game-based assessment data into competency-aligned hiring recommendations, reflecting a rare blend of talent science and energy-sector analytics. Colleagues describe her work as technically sound and pragmatically focused on stakeholder decision-making.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Data Science, 6.75/7.0, Master's degree, Data Science, 6.75/7.0 at The University of Western Australia
The University of Utah
Master's degree, Industrial and Organizational Psychology, 3.75/4.0, Master's degree, Industrial and Organizational Psychology, 3.75/4.0 at George Mason University
A Previewer of Markdown and HTML for Visual Studio Code
Contributions:224 commits, 42 PRs, 234 pushes in 4 years 8 months
mermaidimagevisual-studio-codepreview-vscodecss
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