PODCAST · technology
Symbolic Connection
by Thu Ya Kyaw & Koo Ping Shung
Interested in Data Science, Analytics and Artificial Intelligence?This podcast, Symbolic Connection will help you to understand all aspects of Data Science and Artificial Intelligence.Run by practitioners with a combined experience of more than 10 years+, they share what they have learned. The topics will vary from data, algorithms, implementation, business applications, and more. All from an applied perspective.Find out what’s developing in the field. Give it a listen 👇Feedback: https://forms.gle/fnnJ6QGrjj4Yv74z5Contact: [email protected]
Episodes
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039. What is Generative AI?
We are back! For this episode, we discussed topics about generative AI. We actually used Google's Bard to generate the outline for this episode. It covers topics: What is generative AI? How does it work? What are some of the benefits of generative AI? Challenges of generative AI, the future of...
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038. AI ethics and who should be responsible
It has been a while since we released an episode on this channel. Apologies, we were both busy with work and couldn't find a common dedicated time to record an episode. We also changed the intro and outro music. Let us know what you think? In this episode, Koo Ping Shung and I discussed the nitty...
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037. A peek into the life of an MLOps Data Program Manager - Kelvin Tham, MLOps Data Program Manager @ ViSenze - AI for Visual Commerce
This week, we invited Kelvin Tham, an MLOps Data Program Manager at ViSenze - AI for Visual Commerce. Kelvin has a wide range experience across ML Ops, data analytics, and business process improvement. He is currently working on design, development and shipping of ML Ops model management. In this...
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036. How to jump into Data Science from Physics - Teck Liang Tan (PhD), a Senior Data Scientist @ NTUC Enterprise
This week, we invited Teck Liang Tan (PhD), a Senior Data Scientist @ NTUC Enterprise to have chat with us. He walked us through his unconventional career move from Physics to Data Science. Also, his reason of getting into the industry instead of continuing in academia. By the way, do you know…
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035. Becoming a Lead Data Scientist with Ivan, Lead Data Scientist @ Tech in Asia
This week we invited Ivan who is a Lead Data Scientist at Tech in Asia. Ivan has a unique set of technical competencies, project management, interpersonal skills and problem solving abilities. He is also experienced in deploying scalable machine learning systems, data engineering pipelines,...
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034. Web Scraping and Data Science
Data collection is a crucial step for any data related projects. So much so that you might have encountered something along the lines of the “GIGO” (garbage in, garbage out) concept. Some might even say having the right data is more important than having tons of data that can’t be used. As web...
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033. A sneak peek at Product Management with Low Yi Xiang, Data Scientist @ Traveloka
For this episode, we invited Low Yi Xiang, a Data Scientist at Traveloka again to have a chat about Data Product Management. Yi Xiang covered what is data product management in a nutshell, how it differs from the other product management practices, what are the stages of data product management...
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032. PyThaiNLP - Open source tool for Thai Natural Language Processing
In this episode, we invited one of our popular guests, Charin Polpanumas, back! We got him to share a project that he is passionate about, PyThaiNLP. In this episode, we discuss the challenges of Natural Language Processing and also creating and working on an open-source project. This episode is...
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031. Let talk about MLOps
So what is MLOps? This is a topic we covered in this episode. We discuss the different aspects of MLOps, for instance, data, business requirements, and also measuring the performance metrics. We discuss also data quality and feature engineering and its impact on the ML pipelines as well. We also…
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030. Amelia Peh, Senior Data Scientist with Ride Hailing App
In this episode, we have another guest - Amelia, a chemical engineer turned data scientist! Listen to the episode to understand more about her successful transition, what are the skills that she finds valuable as a data scientist, and how did she cope with studying for Master's and working at the...
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029. Gentle Introduction to Federated Learning
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...
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028. Poh Wan Ting, Director, Data Science and Engineering, Product Development
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.…
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027. Jeanne Choo, AI Lead, Springboard Innovation Team, Bank of Singapore
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…
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026. Ryzal Kamis, Senior Platforms Engineer (MLOps & Infra) @ AI Singapore
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...
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025. Documentation, Why and How to Tackle it
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...
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024. Michael Ng, Data Analytics Manager @ Agilent Technologies
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...
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023. Building Up Your Data Science Career!
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...
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022. Programming Journey with Thu Ya Kyaw, Machine Learning Engineer @NE Digital
For this episode, instead of having a guest over, Koo interviewed his co-host, Thu Ya Kyaw, Machine Learning Engineer @NE Digital to share his programming journey including the motivations, the opportunities, and the struggles. Oh, did you know about 'tab vs space' war? You should definitely…
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021. Low Yi Xiang, Data Scientist @Traveloka
This episode's guest is Low Yi Xiang, a data scientist at Traveloka. He is also a member of the DataScience SG Working Committee. He showed his unique perspectives on his career and data science and how he got started. Yi Xiang shared his journey from a “dashboard data scientist” to putting…
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020. Chong Zi Liang, Data Analyst @99.co - Transition to a Data Role (Part 2)
In this episode, Chong Zi Liang continues to share what steps he took to land his current role after the boot camp. He also discussed his current job scope, the tools he is using and what is he learning from his job. Hear what interview tips Zi Liang has as well. Last but not least, we discussed...
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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...
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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 -...
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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...
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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...
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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…
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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...
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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...
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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...
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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…
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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…
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009. Chat with Leo Tay, a Data Science Engineer at Allianz
This week we invited Leo Tay who is also an AIAP graduate like Thu Ya and currently working as a Data Science Engineer at Allianz. He shared his interesting journey of becoming a Data Science Engineer without having a comp science degree, alongside with learning materials and useful tips and…
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008. Cliff Chew, Senior Data Analyst at Grab
This episode, we have Cliff Chew, a Data Analyst with Grab. He will be sharing his transition from economist-by-training into a data analyst. He also shares some tips on how economics major can be working on data, what are the tools they can start with. Give a listen to understand his career...
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007. Let's talk about Data Visualization, what is Good visualization and how to get there.
We are discussing about Data Visualization! We discuss why is data visualization important in the Big Data era, talked about the different tools of visualization and more importantly what is a Good visualization and how to get to it. In the episode, we share how one can design good visualization...
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006. Charin Polpanumas, Lead Data Scientist at Central Retail, Thailand
Our next guest is Charin Polpanumas from Bangkok! He is the Lead Data Scientist at Central Retail, Thailand's largest owners of shopping malls, supermarkets, office depots, and so on. He works on search, ranking, recommendation, CRM,, and all the omnichannel retail shenanigans. In this episode…
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005. Thu Ya Kyaw, Machine Learning Engineer with NE Digital
In this episode, we turned the table around. Koo interviewed Thu Ya Kyaw, his co-host, to find out how he becomes a machine learning engineer at NE Digital (a subsidiary of NTUC). He will be sharing his career journey, what got him interested in the field, and what steps he has taken to get into...
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004: Thia Kai Xin, Cofounder of DataScience SG & Senior Data Scientist in Refinitiv Labs
We have a special guest for this episode. He is Thia Kai Xin, co-founder of DataScience SG and currently a Senior Data Scientist in Refinitiv Labs working on Natural Language Processing project. He shares his career journey, what are the skills and knowledge that got him his jobs and provided…
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003. Getting into Data Science as a Career
In this episode, we discussed how someone, regardless of their background, can get into data science. The topics include the necessary skills and knowledge he/she need to be equipped with as well as recommendations on whether to choose boot camp, official degree program or self-learning to get...
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002. What is Data Science, Machine Learning & Artificial Intelligence and how are they related to each other?
In this episode, we explore what is Data Science, Machine Learning, and Artificial Intelligence. We also discussed the relationship and differences between them. How did Data Science come about, what are the common branches of machine learning and what do they do, are some of the questions we...
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001. Introduction & What's Symbolic Artificial Intelligence and Connectionist AI.
In this episode, we did a brief introduction to who we are. We discussed briefly what is Artificial Intelligence and the history of it, namely Symbolic AI and Connectionist AI. The difference between them, and how did we move from Symbolic AI to Connectionist AI was discussed as well. Take your...
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ABOUT THIS SHOW
Interested in Data Science, Analytics and Artificial Intelligence?This podcast, Symbolic Connection will help you to understand all aspects of Data Science and Artificial Intelligence.Run by practitioners with a combined experience of more than 10 years+, they share what they have learned. The topics will vary from data, algorithms, implementation, business applications, and more. All from an applied perspective.Find out what’s developing in the field. Give it a listen 👇Feedback: https://forms.gle/fnnJ6QGrjj4Yv74z5Contact: [email protected]
HOSTED BY
Thu Ya Kyaw & Koo Ping Shung
CATEGORIES
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