Max Lustyan is a data strategy specialist known for building low-variance models in complex, data-sparse environments, leveraging subject matter expertise to drive effective solutions. Max has successfully developed Decision Support capabilities that enhance confidence and turnaround on over $200M in NASA contracts and has implemented various technologies for NASA, including explainable models for anomaly detection and low-latency duplicate detection. With experience in programming languages like Julia, Python, JavaScript, and R, Max currently serves as a Principal Data Scientist at Valid Evaluation, Inc., after roles such as Principal Data Strategist at Genpop Interactive and Data Consultant for NASA. Max holds a Bachelor's degree in Interdisciplinary Research from the University of California, Berkeley.
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