Yih Siang Teh

Yih Siang Teh

Data Scientist @ MoneyLion

About Yih Siang Teh

Yih Siang Teh is a Data Scientist at MoneyLion in Kuala Lumpur, Malaysia, with experience in machine learning, deep learning, and web development.

Title

Yih Siang Teh currently holds the position of Data Scientist at MoneyLion in Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia. This role leverages his extensive expertise in data analysis and machine learning.

Professional Experience

Yih Siang Teh has a notable professional background that includes tenure at United Microelectronics Corporation (UMC) in Tainan City, Taiwan. He served as a Junior Data Scientist from 2017 to 2018, following an internship at the same company from 2016 to 2017. During his time at UMC, Teh gained substantial experience in data science fundamentals, which laid the groundwork for his future career advancements.

Education and Expertise

Yih Siang Teh holds a Master of Science (MS) in Comp from the University of Bath, where he studied from 2018 to 2019. His academic achievements also include a Bachelor of Engineering (BEng) in Electrical and Electronics Engineering from the National Kaohsiung University of Applied Sciences, completed between 2013 and 2017. His educational background has equipped him with in-depth knowledge of Machine Learning, Bayesian Machine Learning, and Reinforcement Learning principles.

Technical Skills and Projects

Yih Siang Teh is proficient in Python libraries such as Numpy, Pandas, Matplotlib, PyTorch, Keras, Tensorflow, and FastAI. He has experience in solving complex problems, including natural language processing (NLP), fraudulent transactions detection, object detection, and image reconstruction. For his MSc dissertation, he built and trained a deep learning model to perform image reconstruction on panoramic (360-degree) images. Additionally, he has skills in web development and database management.

Career Aspirations

Yih Siang Teh is seeking a permanent position in the United Kingdom or Singapore and is available for immediate relocation. His career goals reflect his ambition to leverage his extensive technical and analytical skills in new and challenging environments.

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