David Gamba is a data scientist and graduate student with 14 years of experience building data-driven products across e-commerce, startups, and academia. He has delivered production ML ranking and forecasting systems that measurably improved business KPIs (e.g., a 10% lift in ranking performance) and led end-to-end projects from workforce sizing to churn and demand forecasting. His background spans full-stack engineering, research in physics and quantum entanglement, and teaching, giving him a rare blend of rigorous analytical thinking and practical software engineering. Currently at the University of Michigan after senior roles at Mercado Libre and multiple data science consultancies, he focuses on Data Science for Social Good—applying models and dashboards to influence real-world decisions. Colleagues describe him as an effective communicator who pairs technical depth (Python, R, Spark, PyTorch) with outreach and teaching experience to translate complex analytics into impact.
14 years of coding experience
6 years of employment as a software developer
Grado, Physics, Grado, Physics at Universidad de los Andes - Colombia
Contributions:3 releases, 18 commits, 22 pushes in 5 years 4 months
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