Elder Pinzon is a Principal Data Scientist with 11 years of experience applying physics-honed quantitative rigor to build and deliver large-scale, cloud-native ML solutions, particularly on GCP and Vertex AI. He has led and grown data teams end-to-end—setting OKRs, hiring, and partnering with product and engineering—to operationalize models that drive business decisions. His background includes academic research (PhD in Experimental High Energy Physics) with GPU-accelerated MCMC and Monte Carlo simulation expertise, which informs his practical approach to complex modeling and uncertainty reduction. At fintech and analytics startups he developed credit-rating and NLP/forecasting systems, and at Achievers he progressed from senior roles into principal leadership, balancing hands-on technical depth with stakeholder-facing translation for non-experts. Colleagues value his intrapreneurial mindset: he evangelizes data science functions while ensuring robust, production-ready delivery.
11 years of coding experience
12 years of employment as a software developer
Bachelor's Degree, Physics, Bachelor's Degree, Physics at Universidad Nacional de Colombia
PhD, Experimental High Energy Physics, PhD, Experimental High Energy Physics at York University
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