Meet Dimitris: Data Science and Machine Learning: the wizardry of the 21st century

I have been the data science and machine learning trainer at Young Mavericks for 2 years now. With a computer engineering background, data science and machine learning got my attention during my studies, and still holds my interest very tightly, as to me it feels like the wizardry of the 21st century. I got in contact with Young Mavericks via one of the data scientists who was employed by Young Mavericks at the time.

Why work together with Young Mavericks?

Young Mavericks is the place where I can share my knowledge about things that excite me with people that are eager to learn, and also learn myself new things while getting involved in multiple, wildly different projects.

“Dimitris is young, social and informal, something that matches well with the rest of our company”

What does the machine learning training look like?

During the trainings we explore various algorithms for data analysis, and predictive models, and focus on their practical applications. My goal is to make sure that, after the trainings, the junior data scientists have all the tools necessary to tackle all kinds of real world problems.

What is the added value of this machine learning training?

In this training I challenge my trainees to fathom the various machine learning algorithms from head to toe. This is very important for the choices they make for future projects, because then they will exactly know what is happening with the data behind the scenes.

Some of our Data Scientists about Dimitris:

“Enthusiastic trainer that carefully and seriously thinks along with you in solving problems and issues.”

“Dimitris built up our training from Python basics to neural networks at a fast pace. He let us figure out code so we not only could understand it conceptually but also the logic behind it. And if we didn’t manage to figure it out, he was always there to help us (or to talk about XKCD comics, greek food or the aesthetic quality of your plots.”

Discover how Young Mavericks’ Data Engineering Traineeship inspired Kevin’s (32) career switch

Hey everyone, I’m Kevin Bowey. Thanks to Young Maverick’s October Data Engineering Traineeship, I am currently enjoying working as Junior Data Engineer. You might think to yourself: wow, starting a traineeship at 32? Hell yes! Many of my fellow trainees dove into the world of Big Data during or immediately after their studies. My path to machine learning, however, was a lot less straightforward – a ‘detour’ that gave me unique skills as a Data Engineer.

Young Mavericks’ Yaleesa: “My mission? Shaking up the IT world.”

Yaleesa’s (28) interest in the wonderful world of machine learning was peaked at the end of her BA in Information Science. Yaleesa: “For my ambitious graduation research, I was looking for an answer to my specific problem and ended up with a supervisor.He convinced me of the unique potential of machine learning. Although I quickly discovered that machine learning is no walk in the park, I feel at home in the IT world – and more specifically with Young Mavericks.”