Summary
Andre Toujas is a data scientist with eight years of experience applying statistical modeling, machine learning, and data visualization to solve business problems for clients ranging from startups to Fortune 100s. Based in Denver, he currently drives applied data science at SFL Scientific, with project experience spanning NLP, computer vision, market segmentation, and fraud/anomaly detection. He brings a hands-on background in end-to-end ML workflows from his NYC Data Science Academy fellowship, including scaling Spark/SparkML to cluster ~150M records and building predictive models for real-world competitions. Earlier in his career he led engineering projects and program management in Angola, giving him strong cross-functional leadership, stakeholder management, and delivery discipline. That blend of international engineering delivery and production-focused data science makes him adept at translating messy operational data into actionable insights and deployable models.
8 years of coding experience
11 years of employment as a software developer
BS, Mechanical Engineering, BS, Mechanical Engineering at Louisiana State University