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Goy Shuh Xian

Goy Shuh Xian

Customer Software Enabling & Optimization Engineer
Bayan Lepas, Pulau Pinang
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About Goy Shuh Xian:

I believe data is the new oil in this age. I work on different projects that harness the power of data, hoping to transform the world to a much better place, such as working on artificial intelligence (AI), data science, software engineering and others. I have experience interning as a data scientist in a fintech MNC, and currently working on AI related projects in Intel. 

Experience

Intel Microelectronics (Penang, Malaysia) – Customer Software Enabling and Optimization Engineer (July 2022-Present)

  • Involved in the enablement of provisioning software which involves the use of Typescript, NodeJS, bash scripting and, Docker
  • Ensure software quality by conducting thorough security testing and validation using tools such as hadolint. 
  • Create collaterals such as videos, guides and demos to facilitate customer consumption and decrease redundant support. 
  • Create monthly dashboard to keep stakeholders updated. 
  • Educate the public on company solutions by providing hands-on trainings and workshops, such as Redhat Hackfest and AI for University workshop. 
  • Achieved IPAS Software security Yellow Belt (Level 2 of 6)

Intel Microelectronics (Penang, Malaysia) – Graduate Trainee (April 2022 - June 2022)

  • Enabled customizable data pre-processing, model training and visualization in a data pipeline software which uses Python, NodeJS, HTML and gRPC. 
  • Python libraries involved includes Pandas, sklearn, matplotlib and seaborn.

MoneyLion Sdn Bhd (Kuala Lumpur, Malaysia) - Data Scientist (6-month Internship) 

  • Enabled the company to verify advertising strategies by enabling a transaction detection system using regex. 
  • Identified business opportunities by carrying out exploratory data analysis on potential hypotheses which involves data querying using SQL and extensive data manipulation using Pandas. 
  • Communicate findings using data visualization tools such as matplotlib and seaborn. • Enhance department workflow by using data build tool (DBT). 
  • Improve customer support by understanding chatbot data using natural language processing and unsupervised learning. 
  • Ensure smooth operations by carrying out ad hoc tasks within tight schedule.

Education

Bachelor of Computer Science in Artificial Intelligence in Universiti Malaya (CGPA: 3.97/4.00)

Studied basic programming, data structures algorithms, AI specialization such as Natural Language Processing, Image Processing and Deep Learning. Final Year Project was a collaboration project with UM Hospital to develop an exercise recommendation system for cardiac patients which is being used.

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