Minghui Zhang

Senior Data Scientist

Washington DC-Baltimore Area United States
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Summary

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Senior
🎓
Top School
Minghui Zhang is a Senior Data Scientist with nine years of experience turning satellite imagery and large time-series datasets into actionable insights on climate-agriculture interactions. With a PhD from UC Berkeley, he developed the first scalable, field-scale method to estimate crop planting dates across Brazil using cloud-native MODIS analysis and now applies regression models to quantify planting responses to wet-season onset. He blends strong statistical rigor and production-grade tooling—R, Python, Google Earth Engine and GIS programming—with hands-on backend development experience contributing text-extraction features to an open-source OFD document library. Based in the Washington DC–Baltimore area, Minghui has a track record across academia and industry (Plenty, Apella) of moving research into operational impact. Colleagues praise his ability to simplify noisy remote-sensing signals into interpretable metrics that inform agricultural decision-making.
code8 years of coding experience
job2 years of employment as a software developer
bookMaster of Science - MS, Civil and Environmental Engineering, Master of Science - MS, Civil and Environmental Engineering at University of California, Berkeley
bookBachelor of Science - BS, Chemical Engineering, Bachelor of Science - BS, Chemical Engineering at Carnegie Mellon University
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Github Skills (8)

text-extraction10
javas10
keyword-extraction10
java10
text-processing9
font-rendering9
font-face9
fonts9

Programming languages (3)

JavaJavaScriptHTML

Github contributions (5)

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ofdrw/ofdrw

Sep 2020 - Jun 2021

OFD Reader & Writer 开源的OFD处理库,支持文档生成、数字签名、文档保护、文档合并、转换、导出等功能,文档格式遵循《GB/T 33190-2016 电子文件存储与交换格式版式文档》。
Role in this project:
userBack-end Developer
Contributions:49 commits, 43 PRs, 43 comments in 8 months
Contributions summary:Minghui primarily contributed to the OFD processing library by implementing features related to text extraction and keyword positioning within OFD documents. They added functionalities to extract text content, locate keywords within text, handle page block nesting, and calculate text width, enhancing the library's text processing capabilities. These additions involve modifications to the core reader and text extraction modules of the library.
ofdreaderreader-writerwriter
humingzhang/ofdrw

Sep 2020 - Dec 2022

OFD Reader&Writer 像写HTML和Word那样简单的编写OFD。《GB/T 33190-2016 电子文件存储与交换格式版式文档》实现的OFD版式文档,读写库。
Contributions:42 PRs, 52 pushes, 2 comments in 2 years 2 months
txthandwritingreader-writermupdfreader
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