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

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

Published: Oct. 30, 2019, 2:42 p.m.

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.

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