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    Chetan Sharma

    Chetan Sharma

    Founder & CEO at Eppo

    Former early Data Scientist at Airbnb and Webflow. Cofounder of Saltbox.

    CEO San Francisco Stanford University '...
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    Experience
    Join me at Webflow!
    6 Open Positions · $143k–$338k/yr
    View Jobs
    Eppo
    Eppo
    Founder
    Webflow
    Webflow
    Data Science
    Airbnb
    Exit
    Airbnb
    Data Science 2012 - 2017 (almost 5 years)
    As one of the first few data scientists at Airbnb, I worked to use data to serve the Airbnb community. This included:

    - Developing fraud prediction machine learning... more models from scratch
    - Building out Airbnb's original ETL for all fraud detection and mobile platform pipelines
    - Leading a team of five data scientists to develop a novel knowledge management platform, now open sourced and used by a range of industries. https://github.com/airbnb/knowledge-repo
    Saltbox
    Saltbox
    Cofounder 2019 (6 months)
    NEXT Trucking
    NEXT Trucking
    Data Science 2018 - 2019 (7 months)
    Founder
    Eppo
    Employee
    NEXT Trucking, Saltbox, Airbnb, Webflow
    Investor
     
    Incubator
     
    Advisor
     
    Attorney
     
    Board Member
     
    Mentor
     
    Member
     
    Acquired
     
     
    Education
     
    About
    Achievements

    I have extensive experience growing data analytics capabilities, from establishing data streams to building the foundation for predictive analytics and machine learning. I also have a background in policy, performing analytic consulting tasks for Center for Medicare and Medicaid Services.

    Previously, I was an early Data Scientist at Airbnb, where I spent five years working on machine learning fraud detection, logging integrity, mobile product analytics, and knowledge management. The data science team grew from 5 to 80+ while I was there. I had a great time, I love the Airbnb data science team!

    Before Airbnb, I got degrees in EE and Stats from Stanford, and worked in empirical healthcare policy, helping to craft metrics and incentive systems as part of the Affordable Care Act's pay for performance programs.

    Languages: Python, R
    Data Science Packages/Tools: Sklearn, tidyverse/numpy, fastai
    Data Engineering: SQL, Hive/Redshift/Presto, Airflow

    Describe the most impressive thing you've done.
    Skills
    Machine Learning Data Engineering Analytics R Python Tidyverse Numpy/Scipy/Pandas/Scikit-learn
    Locations
    San Francisco Bay Area
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