Carlos Valcarcel is a Senior Data Scientist based in Berkeley with eight years of experience applying causal inference, experimentation, and data engineering to education and social-impact problems. At Khan Academy he drives analytics for Marketing and Philanthropy—designing experiments, building dashboards, and forecasting to measure and grow reach, engagement, and donations. His background blends university research and product-facing analytics (UC Berkeley, ASU, EdPlus) with hands-on ML and CV work for cognitive and therapeutic games, showing fluency across qualitative mixed-methods and production tooling (SQL, Python, Plotly, GDS). He also founded a harm-reduction nonprofit that ran certified therapist trainings and led IRB-backed mixed-methods studies, demonstrating rare experience scaling research into programs and operations. Comfortable moving from literature reviews and human-subjects design to dashboard automation and causal impact work, he ties analytic insight to concrete market and policy opportunities. Colleagues describe him as a builder who obsessively documents and automates reproducible research workflows—an engineer of growth engines for mission-driven organizations.
7 years of coding experience
4 years of employment as a software developer
Graduate Certificate in Information and Communication Technologies and Development, Graduate Certificate in Information and Communication Technologies and Development at University of California, Berkeley
Graduate Certificate, Statistics, Graduate Certificate, Statistics at Arizona State University
Bachelor of Arts - BA, History, Bachelor of Arts - BA, History at Arizona State University College of Liberal Arts and Sciences
Bachelor of Science - BS, Economics, Bachelor of Science - BS, Economics at Arizona State University - W. P. Carey School of Business
Module that makes it easy to use AWS virtual machines at discount pricing
Contributions:7 releases, 68 commits, 2 PRs in 1 year 8 months
machinesdiscountvirtual-machinesawspricing
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