Blog posts

This week on the show I have Mikiko Bazeley. She is currently busy co-founding Sidewalk.ai, an AI based solution for residential real-estate. We talk about sidewalk.ai, her story of becoming a data scientist, the projects she's involved with and the future of AI. Mikiko also shares her advice to aspiring data scientists on how they can turn their career around in the direction they want.

Pandas can be intimidating at first but it's such a great library with so much potential and so much flexibility. Here are the main working principles of Pandas I have picked up over the years that will boost your coding performance.

Have you ever thought about starting your own business? It is very accessible to anyone who has some time to invest. Because becoming a data scientist or starting a career in data doesn't have to mean that you will work at a company or have a boss. In this episode, I talk to Susan Walsh. She started her own business in an area she wasn't particularly trained on: data. And now her business is flourishing and she's having a lot of fun.

Having a portfolio is crucial to land the data science job of your dreams. And as long as you get your hands dirty working with data working with interesting use cases, you will impress your future employer. But you can always go the next mile when it comes to presenting... and make an interactive web app out of the project you built.

Being curious about how much money you would make when you become a data scientist is expected. Though it is good to keep your intentions in check when it comes to switching careers. You want to make sure you pursue a position for the right reasons. But either way, it's good to realise early if you have the wrong idea in mind...

A consultant’s life is an exciting one. You get to experience many different industries, domains and technologies. Rossy is one such consultant. She joins me this week to discuss how she got to her position as a consultant data scientist, what she does day to day, what kind of projects she participates in and more. Tune in to learn what you can expect from a consultancy position!

LinkedIn is a great source of people who can help you with your professional life. This could be getting advice, acquiring information about a company, hearing about open positions and much more. Though, in order to get the most out of it, you need to follow a smart approach.

In this episode, we hear how Ceren changed her career from being a logistics consultant to a machine learning engineer, which resources she used to learn data science, how she landed a remote position, her projects and more.

I would understand it if you were worried about this. You’re getting interested in a new field, looking into how to study it or maybe you’re already studying it and then there is this talk of it dying. You see questions on Quora or on Reddit, tons of articles written as clickbait, seemingly naively asking “Is data science dying?”. Let’s see why not by going back to when the term first started becoming a fact of everyday life.