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Raphaël Hoogvliets's Linkedin Analytics

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Raphaël Hoogvliets

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As a data scientist and ML engineer, I distinguish myself from the market by possessing great leadership qualities. In data science projects, I am often the team lead and strive to create a structured, calm, and pleasant working environment for my team and stakeholders by implementing the right tools and processes and fostering a great working culture. Furthermore, I often take on the role of translator, facilitating communication between technical and non-technical stakeholders. With strong communication skills and empathy, I thrive at the intersection of these two worlds. I have initiated and executed many disruptive projects and have learned that building a highly skilled and fun team is essential to be succesful in data science. Throughout my 15-year career, I have demonstrated my passion for building and running effective teams and have developed a great professional network that I use daily to refine my work, promote opportunities, and recruit colleagues. As a highly motivated and experienced professional, I am committed to developing and nurturing young talent. I take pride in mentoring and guiding interns and junior colleagues, believing that investing in the growth and development of the next generation is not only rewarding, but also essential for an organization's continued success. Over the years, I've had the privilege of collaborating with an impressive array of clients, including corporate giants like Rabobank, Heineken, LELY, Albert Heijn, Ahold, and Nutricia. Government entities such as the European Commission and Dutch Ministries of Infrastructure and Environment, Agriculture, and Economic Affairs have also benefited from my expertise. Scientific organizations, including Wageningen UR and Innovationnetwork, as well as branch organizations and NGOs like LTO, NZO, ZLTO, and Oxfam Novib, have sought my guidance. Among my notable achievements are managing all data science solutions for a company boasting a staggering $2.4 billion in annual revenue, leading a pioneering Dutch agtech trade mission to Silicon Valley, and spearheading a substantial innovation project focused on sustainable crop cultivation for the largest supermarket chain in the Netherlands and 100 of their affiliated farmers. My technical prowess spans a wide spectrum of tools and technologies, including Python, R, SQL (across various dialects), Git, GitLab, GitHub, Azure DevOps, CI/CD pipelines, PyCharm, Jupyter, RStudio, RServer, AWS Sagemaker, Azure ML, Snowflake, MS SQL Server, SSIS, SSAS, PowerBI, Tableau, Dax, Mumbs, Flink, Kafka, Jira, Trello, and Confluence.

Check out Raphaël Hoogvliets's verified LinkedIn stats (last 30 days)


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