Nelson Zhao
Strategic Project Sales Manager(Oil & Gas)
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolNelson Zhao is a Strategic Project Sales Manager with over 20 years leading project sales across China's petrochemical and refinery sectors, currently heading Neles' national team. Trained as a mechanical engineer at Shanghai Jiao Tong University and holding an EMBA from Rutgers, he blends technical depth with commercial acumen to win and deliver complex machinery and engineering programs. Known for strong negotiation and program management skills, he consistently converts high-value projects through disciplined sales processes and stakeholder alignment. Beyond sales, Nelson contributes to open-source machine learning projects on GitHub, applying TensorFlow-based NLP and computer vision work that underscores his hands-on technical curiosity. This rare mix of field engineering, enterprise sales leadership, and practical ML coding enables him to bridge commercial strategy with emerging tech opportunities in oil & gas.
10 years of coding experience
10 years of employment as a software developer
Bechelor, Mechanical Engineering, Bechelor, Mechanical Engineering at Shanghai Jiao Tong UniversityMaster, EMBA, Master, EMBA at Rutgers University
Github Skills (7)
machine-learning10
deep-learning10
tensorflow10
python10
dcgan9
autoencoder9
documentation8
Programming languages (2)
Github contributions (5)
NELSONZHAO/zhihu
Jun 2017 - Jun 2021
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:63 commits, 60 pushes, 1 branch in 4 years 1 month
Contributions summary:Nelson primarily worked on adding and modifying code related to TensorFlow version compatibility and the addition of supporting documentation for various projects within the repository. This included updating dependencies for TensorFlow 1.0, creating a README file with detailed instructions for running the code, and integrating lyric generation functionality. Furthermore, the user contributed to the implementation of autoencoders and DCGAN models, which suggests a focus on machine learning-based image processing tasks.
pythonlanguage-processingtranslationctcconvolution
NELSONZHAO/paper-learning-and-notes
Jun 2019 - Feb 2020
Contributions:34 commits, 32 pushes, 1 branch in 8 months
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