Minghui Zhang
Senior Data Scientist at Apella- Claim this Profile
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Bio
Sophie Zlotnik
Ming was always the ideal partner to work with. She is dedicated and diligent and works hard to ensure every task she takes on is completed with accuracy and precision. She has always been self-motivated to succeed and is undaunted by difficult technical challenges or complex data sets. She is clever and comes up with innovative approaches to problem solving. She will be a great asset to any team.
Sophie Zlotnik
Ming was always the ideal partner to work with. She is dedicated and diligent and works hard to ensure every task she takes on is completed with accuracy and precision. She has always been self-motivated to succeed and is undaunted by difficult technical challenges or complex data sets. She is clever and comes up with innovative approaches to problem solving. She will be a great asset to any team.
Sophie Zlotnik
Ming was always the ideal partner to work with. She is dedicated and diligent and works hard to ensure every task she takes on is completed with accuracy and precision. She has always been self-motivated to succeed and is undaunted by difficult technical challenges or complex data sets. She is clever and comes up with innovative approaches to problem solving. She will be a great asset to any team.
Sophie Zlotnik
Ming was always the ideal partner to work with. She is dedicated and diligent and works hard to ensure every task she takes on is completed with accuracy and precision. She has always been self-motivated to succeed and is undaunted by difficult technical challenges or complex data sets. She is clever and comes up with innovative approaches to problem solving. She will be a great asset to any team.
Experience
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Apella
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Technology, Information and Internet
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Senior Data Scientist
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Jan 2023 - Present
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Plenty
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United States
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1 - 100 Employee
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Senior Data Scientist
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Oct 2020 - Jan 2023
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University of California, Berkeley
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United States
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Higher Education
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700 & Above Employee
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PhD Candidate
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Sep 2015 - Oct 2020
I'm defining the connection between climate change and agricultural practice in Brazil using satellite imagery and statistical models. I formulated a cloud-based timeseries analysis algorithm of MODIS satellite data to create the first field-scale dataset of crop planting and harvest dates across Brazil. Currently, I'm building regression models to quantify planting date response to the onset of the wet season.
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Graduate Student Instructor
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Aug 2017 - Dec 2017
Outstanding Graduate Student Instructor Award
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Peking University
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China
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Research Services
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700 & Above Employee
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Fulbright Fellow
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Aug 2013 - Jul 2014
I designed and led a ten-month measurement campaign of atmospheric peroxides to study smog formation, and the first researcher to accurately detect wintertime peroxides in Beijing. I designed and led a ten-month measurement campaign of atmospheric peroxides to study smog formation, and the first researcher to accurately detect wintertime peroxides in Beijing.
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Education
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University of California, Berkeley
Master of Science - MS, Civil and Environmental Engineering -
Carnegie Mellon University
Bachelor of Science - BS, Chemical Engineering