Episode 21: How To Be A Data Science Writer with Admond Lee

Show Notes:

(2:17) Admond described his undergraduate experience studying Applied Physics from Nanyang Technological University in Singapore.(3:02) Admond talked about the importance of learning multivariate calculus and linear algebra in college.(3:38) Admond shared his research internship experience at CERN, the European Organization for Nuclear Research, in Geneva after his junior year.(4:54) Admond went over his part-time data analytics internship at SMRT Corporation while still at school.(6:10) Admond shared his decision to graduate one semester early to pursue a Data Science internship at Quantum Inventions.(7:42) Admond wrote a Medium blog post titled “My first data scientist internship” detailing his experience at Quantum Inventions.(9:07) Admond gave his advice for job seekers to filter out the signal and the noise in data science job postings, with reference to his article “Why did I reject a data scientist job?”(11:12) Admond discussed his work as a research engineer at the online gaming platform Titansoft, where he focused on Artificial Intelligence in human behavior imitation to enhance the current automation system.(13:53) Admond shared the lessons he wrote about in the blog post called “5 Lessons I Have Learned from Data Science in real working experience."(17:34) Admond talked about his current employer Micron Technology.(19:06) Admond walked through the 4 stages to define a problem statement, as evidence in his article “How to ask the right question as a data scientist.”(24:22) Admond argued for the importance of resourcefulness as a data scientist, regarding his piece “Be resourceful - one of the most important skills to succeed in data science.”(28:34) Admond went over the 5 core principles that are useful to his writing from his article “How do I write about Data Science on Medium.”(33:50) Admond considered specializing in Natural Language Processing after having been a generalist for 2 years (“Why You Should Be a Generalist first, Specialist later as a Data Scientist”).(36:11) Admond went over the speech recognition side project that he has been working on.(39:34) Admond shared his thoughts regarding ethics and privacy within speech recognition.(42:42) Admond shared other projects he’s been involved with, including public speaking and consulting gigs.(45:53) Admond talked about his involvement with the AI Time Journal as a committee member for the AI for Education 2019 Initiative, which identifies and showcases the most impactful and beneficial applications of Artificial Intelligence in the field of Education.(50:24) Admond talked about the tech and data community in Singapore.(57:38) Admond discussed his lowest point during his journey into data science and how he handled that from a psychological standpoint.(01:03:18) Admond shared the 6 lessons for recent college grads, in reference to his article “One Year After Graduation, Here is What I’ve Learned.”(01:11:24) Closing segment.

His Contact Info:

LinkedInMediumGitHubTwitter

His Recommended Resources:

GrabBitcurate"The Lean Startup” by Eric LiesAI SingaporeTensorFlow and Deep Learning Meetup at Singapore

About the show

Datacast features long-form, in-depth conversations with practitioners and researchers in the data community to walk through their professional journeys and unpack the lessons learned along the way. I invite guests coming from a wide range of career paths — from scientists and analysts to founders and investors — to analyze the case for using data in the real world and extract their mental models (“the WHY and the HOW”) behind their pursuits. Hopefully, these conversations can serve as valuable tools for early-stage data professionals as they navigate their own careers in the exciting data universe.

Datacast is produced and edited by James Le. For inquiries about sponsoring the podcast, email [email protected].

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