Getting Started Symbolic Connection Podcast - Guest: Low Yi Xiang This episode's guest is Low Yi Xiang, a previous data scientist at Traveloka. He is also a member of the DataScience SG Working Committee. He showed his unique perspectives on
Blog After Data Project Portfolio, What Is Next? After you have finished your data science or artificial intelligence project portfolio, what is next? Yes, looking for a job is definitely important but the most important next step is
Blog Project Scoping: What are its challenges? Often I am asked by my clients and training participants, what are the common challenges in scoping data projects so I thought of putting some of my thoughts on it.
Blog Essential Success Factors of Data-Related Career What are the essential ingredients to be successful in a data career? If I were to really distill it to the bare minimum, it will be passion and having a
Blog Data & AI in 2022 and beyond Three points made a trend, before the end of each year, I have started to write an opinion piece on what are the trends to lookout for in AI. To
Blog First Step to Gaining Value from Data I was asked "What is the first step to gain value from data?" My answer is," Asking the right questions." Why is asking the right question important? It is important
Blog Looking at Dataset Structure The dataset structure is often overlooked for folks who are beginning their data science journey, especially those that have gone for bootcamps/courses. The reason is due to time constraint,
Podcast Symbolic Connection Podcast - 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
Blog Selecting the "Best" Model Selecting the final machine learning model is not ONLY about selecting the best performing model against the chosen model performance metrics. The ML model also has to meet the business
Podcast Symbolic Connection Podcast - 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
Blog Can Extracting Data for Request be Faster? One common scenario I hear a lot is, "You are an expert in data right? Can you give me X broken down by Y for the past N years? Can
Blog Documentation and Why It is Important! As a learning data scientist, machine learning engineer, or data engineer there is one important task that you must always keep in mind when you code. What task is that?
Blog Managing Impostor Syndrome At times, we will feel that we are inadequately skilled for a job/project. It is called the impostor syndrome. Not sure what is "Impostor Syndrome"? Check out this YouTube
Blog Blind Spot in Data Science Training In recent days, I notice there is this blind spot with regards to beginners, besides the "complexity trap" that I keep talking about. And this blind spot is perpetuated, unfortunately,
Blog Working on Your CV/Resume I often have to review resumes of fresh talents for my clients, part of the consulting services that I offer, to help my clients build up their data science and
Blog Getting Data Science Job - Certification vs Self-Study I was asked a question before, which one is a better route towards getting that data science job, certifications, or self-study. I will give the most common answer any data
Blog Never Forget, Privacy & Security! Came across this article, where a public servant was caught releasing the Covid-19 infected numbers before it was officially released. https://www.channelnewsasia.com/news/singapore/former-moh-deputy-lead-osa-covid-19-case-numbers-leak-14615394I have been in
Blog Importance of Documentation in Data Science If you want to be a data professional, then you cannot run away from documentation, no matter how dreaded you feel. It is a necessary "evil", so to speak. So
Blog Why Work on a Data Science Project? I have been asked many times on LinkedIn how to get started on Data Science. Of course, there are some theories you have to go through like what is Machine
Blog Data Science New Year Aspirations! (Part 3) So in my last two posts (here & here), I talked about the six levels to prepare yourself in becoming a data scientist. To recap, the six levels are: Level
Blog Data Science New Year Aspirations! (Part 2) So in my last post, I talked about the six levels to prepare yourself in becoming a data scientist. To recap, the six levels are: Level 0 - Calculus, Linear
Blog Data Science New Year Aspirations! (Part 1) Happy 2021 everyone! I figure most of you are preparing your New Year aspirations and if it is to have a successful career change to Data Science or Artificial Intelligence,
Podcast Symbolic Connection Podcast - Leo Tay, Data Science Engineer @ Allianz 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
