Lucas Machado is a data scientist with 10 years of experience building analytics-driven products and financial forecasting systems that influence multi-billion dollar decisions. He has driven measurable impact at Amazon—shaping a $6B topline forecast and initiatives that improved free cash flow by $37M—while also creating unified datamarts and SQL training programs that cut ad-hoc requests by 40%. At PeerStreet he paired predictive loan-pricing models with a dbt-driven warehouse migration to support $640M+ in monthly portfolio reporting. A founder of antigo.ai and a bootstrapped eCommerce business, he blends engineering rigor with product intuition to translate ambiguous business problems into production-ready data solutions. Currently based in New York and beginning a part-time MS in Computer Science at Georgia Tech, he combines strengths in SQL, Python, predictive modeling, and cloud data tooling with a knack for clear stakeholder storytelling.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
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