ÂÜÀòÂÒÂ×

Pat Wang has a diverse work experience ranging from inspection engineering to data science. Pat currently works at Datatonic as an Experienced MLOps Engineer, where they collaborate with various teams to build machine learning platforms for clients, implement MLOps best practices, create kubeflow components, and deliver training sessions. Previously, Pat worked as a Data Scientist Intern at Forecast, where they developed a machine learning fairness toolkit and presented their work to the analytics team. Pat also has experience as a Data Analyst at Mara Seaweed, a Data Science Competitor on Kaggle, and a Freelancer for Condé Nast Traveler China and Ceci. Before transitioning to the tech industry, Pat worked as an Inspection Engineer and Junior Inspection Engineer in the engineering sector. They also gained marketing and editorial experience through internships.

Pat Wang obtained a Bachelor of Engineering (BE) degree in Electrical, Electronic and Communications Engineering Technology/Technician from Ningbo Institute of Technology, Zhejiang University, from 2010 to 2014. Later, from 2019 to 2021, Pat pursued a Master of Science (MS) degree in Advanced Design Informatics at The University of Edinburgh. Additionally, Pat earned certifications in Customer Analytics from Coursera in February 2020, and in Professional Data Engineer and Professional Machine Learning Engineer from Google Cloud in August 2022. There is mention of a certification in Amazon Web Services: Data Analytics from LinkedIn, but the exact date of completion is not provided.