Interview with Data Engineer Joeri: About solving puzzles, tadpoles and the language of programming

Young Mavericks’ Data Engineer Joeri (26) helps professionalize the Waterschap (Water Board) Aa en Maas. He is working on ‘Python Refactoring’ in their Datalab, a process aimed at optimizing existing codes, which makes them more accessible, user-friendly, easier to manage and more error-proof. Joeri: “Colleagues at Aa and Maas did not immediately see the added value of refactoring. By showing the time and money it could save them, I was able to win them over. Now, everybody is excited.”

Read more

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.

Read more

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.”

Read more

Young Mavericks’ Machine Learning Tool Optimizes Social Blue’s Online Campaigns

There is a good chance that you have come across one of Social Blue’s advertisements while scrolling through your timeline. Their expertise in lead generation multiplies followers, website visitors and donors through online campaigns for numerous domestic and international companies. Social Blue requested Young Mavericks’ knack for data to help explore the possibilities for optimizing their campaign texts through machine learning. Our Proof of Concept sought to answer the company’s question: ‘Can machine learning improve our campaign results based on previous ad performances?’

Read more

Interview with Young Mavericks’ Data Engineering trainees Sije and Don

What drew Sije and Don to the Data Engineering Traineeship? What are the program’s advantages and challenges and why do they wholeheartedly recommend the Young Mavericks traineeship? Read the double interview with trainees Sije and Don below.

Read more

Young Mavericks Behind the Scenes: Interview with Trainer Jelmer

One year ago, Jelmer van Nuss joined the Young Mavericks team to provide training to Data Engineers trainees and to help coordinate the content of guest lectors. “Recently I also have been involved in developing new assignments for the Data Engineers.” What made him join Young Mavericks initially and how does he look back on his first year? Read all about Jelmer’s experiences at Young Mavericks.

Read more

Young Mavericks Helps Automate Dutch Customs and Border Protection

Today, companies can no longer evade the increasing automation trend. The automation revolution has not just touched commercial companies, but government agencies like Customs and Border Protections (CBP) who must now also keep up with in data technology advancements. In cooperation with Taxsample and TB Customs Consultancy, Young Mavericks has developed a data tool to meet a range of CBP challenges – from growing commodities trade, increasingly complicated importation and exportation processes, new import duties, trade-restricting measures to the possible No-Deal Brexit scenario.

Read more

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.

Read more
Older posts