Bencheng Wei
Senior Data Scientist, Data Science And AI Research
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolBencheng Wei is a Senior Data Scientist with 8 years of experience applying machine learning, deep learning and big data engineering to real-world business problems across finance and telecommunications. Based in Toronto, he builds production-grade forecasting, anomaly detection and NLP solutions—leveraging Spark, Hadoop, Kubernetes and toolkits like TensorFlow, Keras and SparkML—to drive digital platform optimization and network capacity planning. His recent work at CIBC includes transfer-learning sentiment models, Word2Vec-based intent analysis from call transcripts, and collaborations on privacy-enhancing techniques such as differential privacy and federated learning. A strong time-series specialist, he has implemented and ensembled ARIMA/ETS/Prophet models alongside LSTM and hybrid ML approaches for robust forecasting. Bencheng pairs academic rigor (Queen’s AI master’s, top grades at University of Hong Kong) with hands-on deployment experience, and often bridges research and engineering to move novel methods into production.
8 years of coding experience
5 years of employment as a software developer
The University of Hong Kong (HKU)Bachelor's degree, Economis, Statistics and Mathematics, Graduated with High Distinction, cGPA 3.6/4, Bachelor's degree, Economis, Statistics and Mathematics, Graduated with High Distinction, cGPA 3.6/4 at University of TorontoMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Queen's University
Chinese, Chinese, English
Stackoverflow
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Github contributions (5)
BenchengW/Offensive-Language-Detection-DL
Mar 2021 - Aug 2021
Contributions:33 commits, 28 pushes, 1 branch in 4 months
BenchengW/Facial-Recognition-Tutorial
Nov 2020 - Aug 2021
Contributions:13 pushes, 1 branch in 9 months
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