Carmen Barbosa is a Senior Data Scientist with 11 years of experience applying machine learning and data engineering to real-world problems across transport, water management, property valuation, and social impact. She holds a PhD in astronomy from Leiden University, bringing strong quantitative modeling and simulation skills to production ML systems. At organizations like Coolblue, Deltares, and Kickstart AI she has built end-to-end solutions—from prototype to GCP/Azure production—covering time-series forecasting, computer vision (YOLO/OpenCV), and scalable clustering for logistics. Her work directly supported social-good initiatives (poverty-mapping dashboards used by Dutch foodbanks) and safety-critical projects (unattended-object detection for Dutch rail). Comfortable with cloud-native tooling (GCP, Azure, Airflow, Azure ML) and CI/CD, she also has a track record of leading projects and mentoring teams. Notably, her background in astrophysical simulation informs a research-minded approach to problem formulation and rigorous model validation.
11 years of coding experience
13 years of employment as a software developer
Master's degree Physics, Master's degree Physics at Universidad Nacional de Colombia
PhD degree astronomy, PhD degree astronomy at Leiden University
This repository contains the codes used in my medium blog posts.
Contributions:1 review, 4 PRs, 28 pushes in 2 years 9 months
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