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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.

    Highlights

    How DoorDash Improves Holiday Predictions via Cascade ML ...
    How to Land a Data Science Job | UC Berkeley School of Information

    Related Questions

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    Tim Burke
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    Location

    San Francisco Bay Area