Podcast Symbolic Connection Podcast - Guest: Thu Ya Kyaw 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
Blog Four levels of Analytics/Data Science I notice a lot of companies have challenges trying to gain value from the data they have collected. There are many considerations before we can start discussing on gaining value
Blog Data Scientist Need Business Acumen Many a times, I get the question, “How can I have more ‘business sense’ in analyzing my data?” In other words, how does one know the insights gained from data
Blog Selecting Data Science Bootcamp/Training Currently, there are tons of bootcamp training on Data Science or Artificial Intelligence, depending on the buzzword of the day. Why is that so? Capitalism is the culprit here because
Blog Starting the Artificial Intelligence Learning Journey In my previous blog posts, I have stated down the knowledge and skills that a Data Scientist or AI Scientist should have. Here is the post if you have missed
Blog Three Stages to Data Science Maturity for Business Often, businesses have this view that "Data science is good for my organization. My organization has collected data! We CAN do data science! Let's do it!" In my opinion that
Blog Tips for Data Insights Presentation In my many years of experience in the Data Science industry, I’ve noticed there are two main groups of data scientists: Those that focus on building data productsThose that
Blog Data Cleaning for Data Scientist A lot of us might have heard about the urban myth that if you are a data analyst/data scientist, data cleaning (or known as data munging as well) forms
Blog Good Learning Resources for Data Scientists I get asked a lot of times what are the learning resources that I go to, to learn more about the Data Science or Artificial Intelligence. This blog post will
Blog Building the Thought Process to Solve Business Challenges through Data In my last post on preparing your data science resume and project portfolio, I was discussing about showcasing the thought process that one has, the thought process on how to
Blog How to Prepare Your Data Science Resume and Portfolio In the past few years, I have met up with a lot of employers and conducted interviews for training program. Through the conversations and interviews, and together with the end
Blog Should Start-Up do Data Science? Through my discussion with people on data science and artificial intelligence, I often hear people saying, “Start-ups do not need data science. Let’s focus on capturing users by building
Blog Data Science is a Journey, not an End Running my DataScience SG community, I often have hiring requests from employers directed to me. Unfortunately, when these employers shared their hiring demand, job description etc, it shows that they
Blog Building Data Science Capabilities in Organizations During personal discussions or networking events, I am often asked by business owners, department/function heads the following question “I believed what data science can do for my team, but
Blog Exploratory Data Analysis - Part 2:Using Visualization Continuing from my previous post on the calculations to do when conducting Exploratory Data Analysis, in this blog post, I am going to discuss how to use visual to explore
Blog Exploratory Data Analysis - Part 1: Non-Visual I get asked many times “How can I do a good Exploratory Data Analysis (EDA) so that I can get the necessary information for feature engineering and building machine learning
Blog Becoming a Data Scientist - Part 4: Domain Expertise Following the few posts that discuss what are the knowledge that someone who is interested to pursue a data science career(overall, mathematics, data & IT management), I shall now
Blog Becoming a Data Scientist - Part 3: Data & IT Management In my last two posts, I have given an overall view of the skills and knowledge needed by a data scientist and also did a discussion on the mathematics that
Blog Becoming a Data Scientist - Part 2: Mathematics I have written an overall view on the skills and knowledge needed by a data scientist. You can find the article here. Quick catch-up, this was the Venn Diagram that
Blog Becoming a Data Scientist - Part 1 An FAQ I get most of the time at a meetup, seminar or training session is, “Given my XXX (to list the common ones, they are Computer Science, Statistics, Engineering,
