In my line as a social media analyst, I'm tasked with looking at trends in the consumer market to answer business questions. My category focus recently shifted to concentrate on Japanese beauty and personal care. As a result, I end up looking at pages upon pages of cosmetics and beauty care blogs, forums, social media … Continue reading My current gig
It is always so easy to forget that time is passing quicker than we realise. I checked back on my last post - February 2018. Wuuut? Where have I been, and where am I going? This past year has been a year of great change for me: Left the finance sector Enrolled in a bootcamp, … Continue reading Seasons of Change
I am told that the second batch of DSI students from GA have just graduated, and that the third batch will begin next week. General Assembly is steadily churning out classes amid high demand from people who are interested to enter the industry... and for now they still remain the only provider in Singapore offering … Continue reading My Observations on the Data Science Job Market in Singapore
I had never heard of the term Analytics Translators until this week, where I chanced upon an article by HBR. According the the article, "translators play a critical role in bridging the technical expertise of data engineers and data scientists with the operational expertise of marketing, supply chain, manufacturing, risk, and other frontline managers." Simply put, … Continue reading The Search for ‘Analytics Whisperers’
Four weeks have passed since I completed General Assembly's Data Science Immersive. While I am now on the lookout for job opportunities, the seasonality of the year dictates that I do a review for 2017. I am very much a private individual and like to keep my cards close, so I have decided not to publish … Continue reading What Now?
In between juggling my capstone project and lessons, I had not updated the last four weeks of my time at DSI. But here is the final review to make up for it! The final four weeks were spent learning about Bayesian statistics, Hadoop, Spark, forecasting time series, Flask, Recommender Systems with a brief overview on … Continue reading Data Science Immersive [Final Review]
Short Week != Less Work A four-day week punctuated by Deepavali celebrations on Wednesday, but I suspect most of my classmates are not celebrating much (like me). The shorter week was characterised by lessons in NLP topics such as sentiment analysis, topic modelling and Naive Bayes, and -- what else -- more work on the … Continue reading Data Science Immersive [Week 8 Review]
With just about five weeks left until graduation, most of the class spent a great deal of time on their capstone project during the week. Milestone 2 was on Friday and milestone 3 is just seven days away; the reality of things quickly settle in when you have so many deadlines to meet. I personally … Continue reading Data Science Immersive [Week 7 Review]
We are at the halfway mark! Six weeks left until the end of DSI. I missed the blog update on Week 5, but these last two weeks were spent on Project 3, where the goal was to try and predict housing prices using the Ames housing dataset found on Kaggle. Compared to the last two … Continue reading Data Science Immersive [Week 6 Review]
Is it possible to live on a liquid diet? Short answer is a definite yes. I ended my Lembas experiment this week with a celebratory Nasi Lemak burger at McD. Don't ask me why not some fancy steak or some zi char place - McD was just next door. Man who hasn't eaten solid food in … Continue reading Lembas Experiment: The End!
Oh boy, what a journey it has been so far. One month into the data science immersive, I look back at the number of things I have learnt and I am amazed that I have managed to stay sane. From having almost zero coding experience to learning about multiple linear regressions (as above), I would … Continue reading Data Science Immersive [Week 4 Review]
One week into Lembas! I have been experimenting with portion sizes and frequency of meals: 1. Divided the servings into the exact scoop size (more than that later) I realise that overloading the scoop is hardly an accurate way to tell how much I am consuming, so I decided to redefine the day pack as … Continue reading Lembas: An Update
I got these packs from Lembas, which is a meal replacement product, over the weekend and began my experiment today (Monday). I first got to know about meal replacements from articles talking about Silicon Valley employees drinking Soylent shakes as a quick way to get their daily nutritional requirements with minimum down time. Since then, … Continue reading Lembas Experiment [Day 1]
3 weeks down! And we finally got a week where the content was less heavy. We had more practice on data munging and EDA using pandas while learning more about Regex, statistics and SQL. We also had a mini group project focusing on EDA. My group project was on the Boston marathon and trying to … Continue reading Data Science Immersive [Week 3 Review]
From Wikipedia, on the Shinkansen: "The maximum operating speed is 320 km/h (200 mph). Test runs have reached 443 km/h (275 mph) for conventional rail..." I think back about the classes I took in university and took into consideration its pace versus General Assembly's course. To put it simply, lessons in university ran at the … Continue reading Data Science Immersive [Week 2 Review]
Key Thoughts: First week has been brutal. Aside from having to revisit statistics that I have not touched since university days, I had to contend with a challenging first project that I spent the long weekend on. Yup, bye-bye to social life for now. Just based on the amount of content covered this week, I … Continue reading Data Science Immersive [Week 1 Review]
I am now into the third day of my bootcamp experience with General Assembly. A quick summary of my journey so far is captured below: Yea, I wrote down my experience as a block of code. Am I going crazy or what? Week 1 of DSI has been going at a breakneck pace, at least … Continue reading Data Science Immersive = [‘Day 3’]
If you have not watched Ghost in the Shell, go do it, even if you are not an anime fan. The movie is heavy on tech, in a futuristic world where human-computer interfaces are commonplace, and makes you wonder if we are heading towards a similar world (just look at what Elon Musk is doing … Continue reading Memories are fragile, easily lost, easily altered
Traditional thinking suggests that once past our puberty years, we tend to settle down into a more stable, mature personality that persists all the way till our twilight years. Yet this study from Psychology and Aging suggests that contrary to what we think, our personalities in childhood can be very different from what it will … Continue reading Can humans change personalities as they grow older?
I read an excellent post from the Art of Manliness here, from which I note the following observations: Notions of success are personal. "Thoreau wasn’t ambitious for the traditional status markers held up by society, he was ambitious for something else: life. Life at its very essence. Life in its fullest form." How many of … Continue reading The mass of men lead lives of quiet desperation