Very recently, I got onboard a multi-million dollar e-commerce company based in LA, California where the team’s working hours are Pacific Standard Time (UTC−08:00). Prior to joining this team, I was working Manila time (GMT+8). Given that they’re 16 hrs behind, it took a lot of adjusting on my end…
For my first sprint as a Data Scientist in an IoT company, I had to scrape a bunch of images from the internet which would later be used to train a neural network for image classification. My first thought is using either fastai or BeautifulSoup or Selenium + ChromeDriver. …
After working as a professional Data Scientist for some time, I was finally able to afford my own laptop. I only decided to finally purchase one because of the realizations I had during the ECQ. All of us inside our household require a laptop but we only have 1 laptop…
This year, I spent some of my extra time, afforded to me by my freedom from commute, playing the bass, making my cat even fatter and lots of reading.
I was fortunate & blessed enough to get multiple offers from companies where majority of employees are distributed globally, hence, the…
In my previous blog, I shared some of my thoughts and proposals on how I would improve timetrack.io to solve some of the pain points I’m having with existing time-tracking technologies.
Since then, I have reached out to the chief developer of timetrack, who replied back, discussed timetrack & the…
In my previous article, I talked about my pain points with the existing time monitoring apps. I finally found an offline-first mobile time tracking app that fits my needs but still ran into a certain level of customization.
Here’s the user story:
Now that Terraza Data landing page is up, and now that I have endorsed the site on the multiple platforms that I am on, it’s “static”-ness finally kicked in. …
Very recently, I started as the new Product Lead of a multi-million dollar e-commerce company based in LA, California. …
There are so many resources online on this topic. You probably went into that rabbit hole, and if you did, then most likely, you are now overwhelmed with all this information.
Here’s a tl;dr on how I got my foot in the door as an entry-level data scientist:
For a mobile gaming company:
If you were to build a recommendation system, how would you go about it
What was your biggest f*ck up? Have you ever deleted a table in production?
From a multisided marketplace company:
