Symbolic Connection

Symbolic Connection

By Thu Ya Kyaw & Koo Ping ShungTechnology
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Symbolic Connection episodes

  • 019. Chong Zi Liang, Data Analyst @99.co - Transition to a Data Role (Part 1)

    In this episode, we are very happy to invite Chong Zi Liang, a data analyst at 99.co, to share his career journey, particularly on his transition from a non-data, non-STEM background. 

    There is a lot of content to share again so this podcast has a few parts! In this part, we discussed why Zi Liang chose the Data Analytics field and how he started his career change, including how he managed his self-learning. Listen to his bootcamp experience and how he went about hunting for an analytics job. 

    Have a listen to get some tips, especially if you are a mid-career changer!

    LinkedIn Profile: https://www.linkedin.com/in/zi-liang-chong/

    Chong Zi Liang's Newsletter: https://artsciencemillennial.substack.com/


    Questions for our Guest: https://forms.gle/YhEtzQ3W7JVTNbHN9

    51 min
  • 018. Debunking Data Myths (Part 2)
    We continue our Data Myths busting in this second episode given the raving reviews and feedback from the audience. Yes, we are back with myth-busting! Here are the myths we discussed.
    1 - "If the mathematics is not complicated/complex, it is not Data Science."
    2 - "R vs Python...any winner?"
    3 - "Data Scientist is the top job! Data Analyst & Data Engineer should aim to be a Data Scientist."
    Like to know more why they are myths and also how we debunk them, check out this episode and also Part 1 too! The data science industry needs everyone to participate  and share the real picture of what Data Science is. Check it out and  spread the word! :)
    Any feedback for us? Here is the form: https://forms.gle/fnnJ6QGrjj4Yv74z5
    56 min
  • 017. Christopher Leong, Lead R&D Software Engineer & Machine Learning @ Virtuos - Part 2
    In this episode, we continue our conversation with Chris Leong. We mostly discuss what is the difference between software engineering and machine learning. Chris also shared more on the projects he worked on during AI Singapore days. And last but not least, some pointers on getting into the Data Science profession. Have a listen! 
    LinkedIn Profile: https://www.linkedin.com/in/cleongks/
    Questions for our Guest: https://forms.gle/YhEtzQ3W7JVTNbHN9
    41 min
  • 016. Christopher Leong, Lead R&D Software Engineer & Machine Learning @ Virtuos - Part 1
    If you like Machine Learning and Gaming, this episode is really for you. We invited Chris Leong to join us in this episode, where Chris shared how as a software engineer, he managed to include machine learning into his capabilities. We had a surprising conversation talking about AI in gaming and that is how it leads to a 2-part episode.
    If you are interested to know how Chris joined the AI profession and AI in gaming, the back-end of how it can be used to generate game assets, do give us a listen. 
    LinkedIn Profile: https://www.linkedin.com/in/cleongks/
    Questions for our Guest: https://forms.gle/YhEtzQ3W7JVTNbHN9
    47 min
  • 015. Ang Shen Ting, Data Scientist with INSEAD

    Ever wonder what does a data scientist in an academic institution does? Wonder no more, we invited Ang Shen Ting, Data Scientist @ INSEAD to share his working experience. 

    In this episode, he will be sharing his different experiences, working in the private, public, and academic sectors. If you are thinking about choosing a Masters, have a listen to what was Shen Ting's consideration and...how did he land his job after his Masters. Shen Ting also shared his experience joining hackathons and what he gained from it. 

    Shen Ting's LinkedIn Profile: https://www.linkedin.com/in/angshenting/

    Questions for our Guest: https://forms.gle/YhEtzQ3W7JVTNbHN9

    1 hr 1 min
  • 014. Ong Chin Hwee, Data Engineer at ST Engineering (Part 2)
    In part 2, Chin Hwee shared some career tips on getting a job and staying competitive. She also talked about the challenges of being a data professional, how much of the time we spent to clean data, and shared her thoughts about the difference between reality and the courses offered in terms of data work. An additional sweetener: Chin Hwee shares how she contributes to the community and what she gained from it. And...another sweetener, we shared on what are the community you can join to enhance your tech career! :)
    Chin Hwee's LinkedIn Profile: https://www.linkedin.com/in/ongchinhwee/
    Questions for our Guest: https://forms.gle/YhEtzQ3W7JVTNbHN9
    30 min
  • 013. Ong Chin Hwee, Data Engineer at ST Engineering (Part 1)

    We have another guest on our show! We have Chin Hwee, another data engineer to share her work and how she got into the field. She has spoken about data in many conferences as well.


    In Part 1 (yes a lot of content shared, start listening!), she shared how she interacted with her stakeholders, how she approached each project, and also what are the valuable skills in a data career. We suggest you have a listen now so that you can look forward to the second part that is packed with more content. :)

    Chin Hwee's LinkedIn Profile: https://www.linkedin.com/in/ongchinhwee/
    Questions for our Guest: https://forms.gle/YhEtzQ3W7JVTNbHN9

    47 min
  • 012. Debunking Data Myths (Part 1)

    In this episode, Thu Ya and Koo will be debunking some common myths that are swirling around in the industry. The myths that will be debunked are the following:

    1 - "Got data can do Data Science"

    2 - "Data Science is only for big organizations"

    3 - "Big data is needed for Data Science"

    4 - "Data Science is just about building models"

    Like to know more why they are myths and also how we debunk them, check out the episode! The data science industry needs everyone to participate and share the real picture of what Data Science is. Check it out and spread the word! :)

    51 min
  • 011. Loo Choon Boon, Data Engineer with Sephora SEA

    Loo Choon Boon, a data engineer from Sephora SEA is our guest for this episode. :)


    He will be sharing how he become a data engineer and how to do well as a data engineer. He also discussed how important it is to seize opportunities and finding support to get into the field. There is a discussion on what is the difference between data scientist, machine learning engineer and data engineer.  Thu Ya also joined into the discussion as well. Do listen to understand more about the role of a data engineer


    LinkedIn Profile: https://www.linkedin.com/in/loo-choon-boon-6231b1140/

    54 min
  • 010. Sky You, Talent Hunter @ ThoughtWorks

    Symbolic Connection reached a milestone! We have our tenth episode. In this episode, we invited Sky You, Talent Hunter from ThoughtWorks to share a typical hiring process in hiring a data professional, as well as tips and tricks to stand out from the crowds.  She also cleared our burning question on the impacts of having a personal project(s),  having a master degree, and doing a Bootcamp in the hiring process. This is the episode you don't want to miss out on if you are trying to get a data-related role!

    • Sky's LinkedIn: https://www.linkedin.com/in/sky-you/
    • Questions for our Guest: https://forms.gle/YhEtzQ3W7JVTNbHN9
      • 44 min

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