Jeffrey Mak's Location
Toronto, ON, CA
Jeffrey Mak's Work
- Machine Learning Platform Developer @ Kinaxis
- Solution Engineer @ Rubikloud Technologies (Acquired by Kinaxis)
- Associate Director @ Esquel Group
- Senior Manager, Enterprise Architecture @ Esquel Group
- Associate @ JPMorgan Chase & Co.
- Senior Solutions Architect @ The Hong Kong Jockey Club
- Solution Architect @ The Hong Kong Jockey Club
- Analyst Programmer @ Fujitsu
- Project Manager @ Multimedia Innovation Center - Hong Kong Polytechnic University
- System Engineer @ iASPEC Software Co., Ltd.
Jeffrey Mak's Education
- Massachusetts Institute of Technology
Master of Applied Science (Logistics, Materials, and Supply Chain Management)
2018 - 2018 - deeplearning.ai
Specialization in Deep Neural Network
2017 - 2017 - MITx on edX
MicroMaster (Logistics, Materials, and Supply Chain Management)
2016 - 2017
- MITx on edX
Certification (Analytics Edge)
2016 - 2016 - The Hong Kong Polytechnic University
Master of Philosophy - MPhil (Electronics and Information Engineering)
2001 - 2003 - The Chinese University of Hong Kong
Bachelor's degree (Systems Engineering and Engineering Management)
1996 - 1999
Jeffrey Mak's Skills
- SDLC
- Machine Learning
- R
- Python
- Amazon Web Services
- Microsoft Azure
- TOGAF
- Data Analysis
- Business Analysis
- Supply Chain Optimization
Jeffrey Mak's Summary
Jeffrey Mak, based in Toronto, ON, CA, is currently a Machine Learning Platform Developer at Kinaxis, bringing experience from previous roles at Rubikloud Technologies, Esquel Enterprises Ltd and JPMorgan Chase & Co.. Jeffrey Mak holds a 2018 - 2018 Master of Applied Science in Logistics, Materials, and Supply Chain Management @ Massachusetts Institute of Technology. With a robust skill set that includes SDLC, Machine Learning, R, Python, Amazon Web Services and more, Jeffrey Mak contributes valuable insights to the industry. Jeffrey Mak has 2 emails on RocketReach.
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