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Joanna Z. Li

Data Scentist at Uber

Joanna Z. Li is an applied scientist with a diverse educational background and hands-on experience in econometric modeling, machine learning, optimization, and experimentation.

She holds a Master's degree in Marketing from the Wharton School at the University of Pennsylvania, a Master of Science in Economics from Hong Kong University of Science and Technology, and a Bachelor of Science in Mathematics and Physics from Tsinghua University.

With a solid foundation in theoretical knowledge and practical skills, Joanna is proficient in Python, R, SQL, and Spark.

Her professional experience includes roles such as Applied Scientist at Uber, Senior Data Scientist at Two Six Capital, and research positions at academic institutions like the University of Pennsylvania and HKUST.

Joanna Z. Li has a strong academic background and professional experience in diverse areas such as econometrics, machine learning, and data analysis.

She has a proven track record of success in applying her skills to real-world problems and has showcased her expertise in various roles at prominent organizations.

Joanna's fluency in programming languages like Python and R, coupled with her expertise in econometric modeling, positions her as a valuable asset in the fields of data science and applied research.

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Location

San Francisco, California, United States