Category: Traineeship data science

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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.

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Young Mavericks Encourages Employees to Travel Sustainably

Stimulate Sustainable Travel

Young Mavericks is joining the youth-driven movement to take ownership of the climate crisis by inspiring their employees to reduce their carbon footprint. Starting in 2020, Young Mavericks is adding a new employment benefit to stimulate more sustainable travel by discouraging the least sustainable means of travel: flying. From then on, anyone who does not use an aircraft within a calendar year will receive two extra vacation days. This policy rewards the employee for reducing their carbon footprint while also giving them the time and freedom to make a difference. 

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| by Lars Kieftenburg

Data Science and Data Engineering: Training in Multidisciplinary Teams

This fall, Young Mavericks growth is accelerating, with the hiring of a dozen new trainees – in one fell swoop. Half of them will soon start with our fourth Data Science program; the other half will participate in our first Data Engineering program. They will not only learn the tricks of their trade, but also how to collaborate on scalable insights and models throughout their traineeship. Moreover, they will develop the ability to come up with strong and creative solutions by viewing projects from a multidisciplinary perspective.

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NIBC Case: Performing Analyses Faster through Machine Learning

NIBC Bank and Young Mavericks started a text data mining proof-of-concept at the Agency Management and Operations departments. Text mining is a form of analysis in which relevant information is extracted from large amounts of text material. The solution supports the banks’ employees to provide clients with accurate and relevant information, almost in real-time. By automating document review processes, employees can focus on offering personalized customer services to their clients and leave the routine analyses to machines. The application is ready for implementation.

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Machines Learning the Lay of the Land and Signaling Mutations

The Netherlands is defined by water and our ability to manage it. In order to manage it we have to monitor it, and monitoring it requires large sets of input data and their analyses. Using machines to automate these data processes brings 21st century tools to the long tradition of Dutch water management. Young Mavericks specializes in the design, data mining and analysis, and machine learning aspects of digital technology and then trains data scientists to apply the technology with an open mind to diverse contexts. Our model allows different companies and organizations to gain freshly trained talent ready to meet the demands of specific data and information analysis. One of our recent governmental partners required up-to-date analysis of geographic mapping representing the complex blend of land and water under its jurisdiction.

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| by Lars Kieftenburg

Meet Robert: Bringing Design Thinking to Data Science Projects

I come from an entrepreneurial family so pursuing a business background with a focus on change management was a natural way for my professional and personal worlds to converge. A few years ago, I started exploring various books and examples of Design Thinking. This was also when the Lean Startup and the first contemporary corporate innovators were coming to the foreground. This background, a mix of events and interests, inspired me to start with my business partner our own company in Design Thinking training and supervising Design Sprints. Design Thinking is a great example of a no-nonsense attitude. During the workshops and training I can do what I like best: combining my academic background and professional expertise with helping people while gaining experience in new knowledge and tools.

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| by Lars Kieftenburg

Case Study War Child: Can’t Wait to Learn

Young Mavericks, like War Child Holland, is based in Amsterdam, and also like War Child, we do not see ourselves simply as Amsterdammers; we are world citizens responsible for each other regardless of geographies. Young Mavericks began as a mix of human resources, sociology, data science and engineering, machine learning and UX-design applied to future-proof the longevity between talent and organizations. Our company has grown as we assist a diverse number of missions by engineering data analysis through machine learning. One of these partnerships was with War Child’s Can’t Wait to Learn Team as they work to improve the education gap in conflict affected areas.

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Meet Lisa: Realizing Young Mavericks’ Core Value of Personal Development

I’ve been a coach and trainer at Young Mavericks for two years now, since the company was founded. My coaching focuses on personal development, which translates to increasing consultants’ self-awareness and reflection on how their work habits and behaviours may affect others. My role here is to ensure that Young Mavericks’ consultants have access to professional development centered on empowering them to achieve their personal and career goals.

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Traineeship Data Science with Erik

Hello, I’m Erik, I work at CB as a member of a data science team who work towards predicting the future. I focus on Natural Language Processing and make data-driven predictions on a product’s pre-destined performance in the market. When I am not predicting the future, I am growing it: cultivating oyster mushrooms from coffee grounds at my urban farm, Fungi Factory.

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deborah

Life after Young Mavericks

My name is Deborah, I am 29 years old and I work at CB as a data scientist. CB, formerly Centraal Boekhuis (Central Bookhouse), is the largest logistics service provider in the field of books, media and healthcare. I have found the organization to have a very open and friendly environment that gives every employee the opportunity to carry out various data science projects.

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