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    Neal Cheng, Ph.D

    Staff Machine Learning Engineer/Data Scientist at eBay

    Neal Cheng is a highly successful professional with a diverse academic background and a strong track record of accomplishments in data science and algorithm design. He holds a Ph.D. in Chemistry, a B.S. in Chemistry and Physics, and a Master's degree in Computer Science. Neal has held several senior positions at top companies like Akamai Technologies, Ericsson, and PayPal. He has also worked as a Data/Research Scientist at Eureka Therapeutics, Inc.

    Neal's proven expertise in algorithmic prediction, customer demand prediction, geolocation algorithms, and bioanalytics makes him a highly sought-after data scientist. He is known for his ability to improve item sales and has implemented machine learning models that have increased monthly sales by 10-40%. He has also impressed in Kaggle competitions, ranking in the top 3% of participants in "Learn with Others."

    Neal's background provides an excellent foundation for a career in data science, and his extensive experience in algorithm design and analysis has made him a valuable asset to potential employers.

    Highlights

    May 1 · lyrahealth.com
    Breakthrough 2024 | Mental Health Conference | Lyra Health

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    Neal Cheng, Ph.D
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    Experience

    Staff Machine Learning Engineer/Data Scientist (Member of Technical Staff) at eBay (March 2021 - Present)
    Senior Data Scientist - Algorithm Design at Akamai Technologies (March 2020 - March 2021) | Lead Data Scientist at Ericsson (December 2018 - March 2020) | Data Scientist (Contract) at PayPal (October 2018 - December 2018) | Data/Research Scientist II: Bioanalytics at Eureka Therapeutics, Inc (October 2012 - January 2018)

    Education

    Ph.D, Chemistry at University of California, Davis | Masters of Computer Science, Computer Science at Georgia Institute of Technology (Ongoing) | B.S., Chemistry at University of California, Davis | B.S., Physics at University of California, Davis

    Location

    San Francisco Bay Area