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Tim Burke
Data Science, Machine Learning at Doordash
Tim Burke is a data scientist with a passion for utilizing data to solve complex problems using techniques such as predictive modeling, experimentation, and analysis.
He holds a Masters in Information Management and Systems with a focus on Data Science from UC Berkeley School of Information. Additionally, he pursued a BA in Economics and Government at Claremont McKenna College and engaged in a Summer Session in Computer Science and Linear Algebra at Stanford University.
Tim has gained valuable professional experience as a Data Scientist specializing in Machine Learning at DoorDash. Prior to this role, he interned at Medidata Solutions, served as a Product Operations Manager at Juniper Square, worked as a Research Analyst at Hall Capital Partners LLC, and undertook an internship at Makena Capital.
His skill set includes proficiency in Python, SQL, Git, Unix Terminal, AWS S3, and EC2.
