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Hello, I'm a Malaysian Data Scientist based in Hong Kong!

Jason Chan Jin An

Data Scientist ( Part Time MSCS Student / Guitarist / UFC Fan / John Mayer Fan )

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About Myself

I am a fellow Malaysian based in Hong Kong and working as a Data Scientist with a passion for using data to build impactful and interesting AI applications. Some of my projects include building a UFC MMA fight predictor, Glassdoor Data Scientist Analyzer, and AI Video Interview Analyzer (AVIA), which won the 2021 HKU AI Robotics Vision Competition. When not doing Data Science-y stuff, I enjoy playing guitar, both electric and acoustic and covering John Mayer songs (the blues stuff, not the pop). I am also an avid Ultimate Fighting Championship (UFC) fan and have watched a few live events. Currently, he is living off of his own product called Inkdrop.

Work Experience

2019 - Present, China Light & Power (CLP)

Working as a Data Scientist at China Light & Power (CLP) Holdings in the Big Data and AI team.

2016 - 2018, Fidelity International

Worked at Fidelity International as a Junior Data Scientist in the Customer Insights and Analytics team.

Education

2021 - Present, University of Austin at Texas

Currently enrolled in MSc Computer Science program (MSCSO) at UT Austin.

2019 - 2021, University of Hong Kong (HKU)

Completed the MSc Statistics, Data Analytics program at HKU. My final project is Applying Deep Learning Algorithms in Prostate Cancer Predictions from Scanned Images.

2012 - 2016, University of Hong Kong (HKU)

Completed the BSc Quantitative Finance program at HKU. This program equipped me with fundamentals in mathematics, statistics, computer science, and finance.

2012 - 2012, Tunku Abdul Rahman University (UTAR)

Completed A-Levels in Kuala Lumpur Malaysia and enrolled in BSc Actuarial Science in Tunku Abdul Rahman University (UTAR) for 2 semesters. Withdraw upon obtaining a scholarship to The University of Hong Kong (HKU).

Competitions

2021 - HKU AI Robotics Vision and Automation Technology Competition (Winner)

Lead coder and team leader of winning team. The competition was to build an AI application that includes computer vision and text analytics. Our team built an AI application called AI Video Interview Analyzer (AVIA), an AI application that helps students prepare for online interviews. We implemented facial expression recognition, eye contact detection, and text analytics in the application.

2019 - China Southern Grid AI Competition (Rank 10)

Represented my company China Light & Power Holdings (CLP) in a team of 3 to take part in this AI competition. The aim of the competition is to build models for short term load forecast of 4 provinces in China. We competed against 38 teams consisting of famous tech companies such as TenCent and Alibaba and top universities such as HKU, HKUST, PKU, and Tsinghua University.

My Interests

Data Science, Statistics, Machine Learning, Deep Learning, Computer Vision, Blues Music, Mixed Martial Arts, Manchester United

On the web

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