Chris Swenson is a business analytics leader with 11 years of experience turning complex real estate and financial data into actionable insights for enterprise clients. Currently at CBRE after leading BI teams for JLL’s large Bank of America account, he excels at building scalable reporting platforms, predictive models and self-service analytics that reduce ad hoc work and inform senior leadership. He combines hands-on data modeling and statistical analysis (R, Excel/Power Pivot, Tableau) with operational thinking—creating dynamic "what-if" and capacity planning tools used across portfolios. Based in Chicago, he also contributes to open-source documentation tooling for the Malloy data modeling language, improving developer usability and doc rendering. Practical, data-driven, and client-focused, he thrives in fast-paced commercial real estate environments where clarity and reproducibility matter.
Malloy is an experimental language for describing data relationships and transformations.
Role in this project:
Back-end Developer
Contributions:220 reviews, 519 commits, 410 PRs in 1 year 5 months
Contributions summary:Chris primarily contributed to the maintenance and improvement of the documentation build process for the "Malloy" project, a data modeling language. Their work included updating build scripts, improving the functionality of the translation API, and refining the styling and display of code snippets. They also worked on implementing features for the core webview and for rendering the documentation to improve the user experience. These contributions appear to be centered on improving the usability and presentation of the documentation.
Malloy Composer is a simple application to build dashboards or run ad-hoc queries using an existing Malloy model
Contributions:10 reviews, 163 commits, 40 PRs in 7 months
datahoc-queriesphpdashboardsbusiness-analytics
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