Accomplishments
My education has been just as varied as my career, but the tie that binds is my never-ending curiosity. I love learning, reading, and diving into new ideas. Over the years, I’ve worked in different roles in enterprise software sales, but Sales Engineering turned out to be the perfect fit. It lets me do what I love—digging into industries, understanding customers’ jobs, and really empathising with the challenges they face.
Here are just some of my accomplishments:
140 hours - self-paced - lots of coding
aisingapore.org
Using Python for machine learning, including supervised, unsupervised, and deep learning. Included image processing and NLP.
Online self-paced - non-technical
IBM
A good non-technical course for business leaders who want to deploy AI solutions in their business. The data pipeline from EDA to MLops is covered.
Good refresher on functions and data structures
University of Michigan
More in the style of a university lecture with homework. Not very coding intensive.
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13 hours self-paced fundamentals course
Is it useful, usable, reliable, equitable, and scalable? Before GenAI became widely available but still relevant,
21 hours self-paced. The Google Design Sprint model
Goes in-depth about Agile for design thinking. Empathise, define, ideate, prototype, and test
Data Science encompasses all types of AI
IBM
A must for any data-driven organisation or anyone who uses data to make informed decisions.
Good and fun course!
University of California, Davis
Combines technical know-how with theory. I particularly liked delving into cognitive science because data is often too inform
Second course of Tableau Visual Analytics
University of California, Davis
Emphasis on the importance of data storytelling. Very useful for Data Science and complex sales.
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