Symbolic Connection

Symbolic Connection takes a break from interviewing guests and has two non-experts, the co-hosts Thu Ya and Koo to share what they understand about a privacy-preserving model training technique called Federated Learning. We have a discussion on Federated Learning, its relationship with Edge Computing, how the industry solved the challenges associated with implementing Federated Learning, what is centralized and non-centralized FL. Curious and/or preparing for an interview? Hit that "Play" button! :)

Resources on Federated Learning

In this episode, we interviewed another lady in tech, Poh Wan Ting. She shared her career journey, how she started from computational biology to now leading a data science and engineering team in a well-known Financial Institution. She also shared how she manages her data team and retains them. We also discussed what shall one do when an opportunity comes, to take or leave it, and what are considerations one should take. And of course, being a hiring manager, we asked her how she selects her teammates, what questions does she ask during interviews. We also have a quick discussion about talent development here in Singapore as well and last but not least, how can we reduce the gender gap in the tech industry! Want to know the answers, hit that "Play" button!! :)

Wan Ting's LinkedIn: https://www.linkedin.com/in/pohwanting/

https://www.goodreads.com/book/show/52578297

Deep Work by Cal Newport

https://www.goodreads.com/book/show/25744928

https://www.morningbrew.com/emerging-tech

https://www.thedailyupside.com/

https://www.nytimes.com/section/business/dealbook

We have a guest from the banking industry for this episode, Jeanne, from the Bank of Singapore. She shared her journey, how she moved from studying animals to being an AI lead in the banking industry. We discussed how to encourage more females to join the tech industry, how does conducting training help one's career. Jeanne also shared how it is like working on tech in the banking industry and the weirdest interview questions she encountered. As a hiring manager, what is Jeanne looking for in a candidate? Want to know the answer? And one more thing, how can talents working in AI improve the industry? Check out this episode! :)

In this episode, we have another guest from AI Singapore. He is Ryzal Kamis, Senior Platform Engineer. In this episode, we discuss a great deal on MLOps, what it is, and for anyone who is interested in the MLOps area, what are the learning resource, etc. Another topic that we discuss is data versioning, what it is and why is it important. We also discuss more on programming, debugging, and how to get better at it. Ryzal also shared how he transitioned from a Banking and Finance degree to an AI Engineer.

Ryzal's LinkedIn: https://www.linkedin.com/in/ryzalkamis/

In this episode, we take a break and talk about documentation, something that is a "necessary evil" for any software engineer and data professional. Thu Ya and Koo, tackle the documentation topic by sharing their experience, their pains, and frustrations when documentation is not done well. They also shared what is documentation to be done for each stage of the project, the data preparation, the modeling process etc.

This week we invited Michael Ng from Agilent Technologies to share his background and career journey. :)

What got him interested in the field? What are the key skills in dealing with business stakeholders? What are the questions he asked his interviewees? What makes a good analysis? These are the questions we tackled during the podcast. Michael also shared his interview experience after he has graduated from his Masters, for instance, the "interesting" questions he was asked.

One 'hot' question we tackled is how a Masters degree can help your data career. We had a substantial discussion on taking up and having a Masters. Interested? Give us a listen!

Michael's LinkedIn profile: https://www.linkedin.com/in/michael-ng-59814011/

Happy New Year everyone! We are back with an episode that may help planning your Data Science & Artificial Intelligence career! In this episode, you will find career tips to build a solid foundation in your Data Science career. Thu Ya & Koo discuss taking up an internship, contract, and full-time job and their possible impact on your career path, They also discuss the possible Data Science experience gained working in a Start-Up, Small Medium Enterprises, and MNCs. And should you join a consulting firm or work in a specific industry. How about Certifications and their impact on your career?

Psst...Koo also shared a new community initiative! Listen to the end to find out more! :)