Will Guo
Technology Strategy Manager
Shenzhen, Guangdong Province, China
Summary
🤩
Rockstar🎓
Top SchoolWill Guo is a Technology Strategy Manager with 7 years of experience blending IT strategy, consulting and hands-on AI/ML engineering across consulting giants and enterprise ERP vendors. Based in Shenzhen, he has led IT strategy and transformation engagements at Deloitte and Accenture, delivered ERP internationalization and cloud adoption at Yonyou, and built reproducible NLP and deep learning artifacts showcased in his AiLearning repo. He pairs business-facing consulting skills—requirement design, project AIC and presales—with technical depth in transformers, LSTM, word2vec and K8s to help teams quickly adopt ML in production. A pragmatic problem-solver and former GMAT instructor, he brings clear communication and a competitive streak (Kaggle master and multiple competition wins) to bridge data science, engineering and business value.
6 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.), IT Management, Master of Science (M.Sc.), IT Management at The Chinese University of Hong Kong (CUHK) Business SchoolBachelor of Science (B.Sc.), Microelectronics, 3.5/4.0, Bachelor of Science (B.Sc.), Microelectronics, 3.5/4.0 at 南開大學
Chinese, English, Chinese
Github Skills (10)
sentiment-analysis10
machine-learning10
lstm10
nlp10
word2vec10
ai10
data-science10
tf-idf9
statsmodels9
regression9
Programming languages (4)
Github contributions (5)
ben1234560/AiLearning-Theory-Applying
Oct 2020 - Jan 2023
快速上手Ai理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
Role in this project:
Data Scientist
Data ScientistContributions:546 commits, 1 PR, 215 pushes in 2 years 3 months
Contributions summary:Will's commits showcase their engagement with AI learning and practical application. They created a regression analysis using statsmodels, implemented word2vec and TF-IDF models for text processing, and built an LSTM model for sentiment analysis. Their contributions involved exploring various features, building models, and creating a framework for predicting user engagement, demonstrating strong skills in data science and machine learning.
nlppythonai-mlbertdeep-learning
ben1234560/Practical-projects-of-BigData-and-AI
Jan 2022 - Jan 2023
Contributions:126 commits, 20 pushes, 1 branch in 11 months
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