Roel Smits

Co-founder at Blenddata
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Contact Information
Location
Eindhoven, North Brabant, Netherlands, NL
Languages
  • Nederlands Native or bilingual proficiency
  • Engels Full professional proficiency

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Credentials

  • Safe Microbiological Techniques
    Avans Hogeschool
    Jun, 2013
    - Sep, 2024

Experience

    • Netherlands
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Co-founder
      • May 2022 - Present

      🚀 𝐄𝐦𝐩𝐨𝐰𝐞𝐫𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐝𝐫𝐢𝐯𝐞𝐧 𝐢𝐦𝐩𝐚𝐜𝐭. 👑 𝐖𝐡𝐲 Blenddata is a data engineering and consultancy company that builds data platforms that support a validated business case. With a team of the best data engineers, we leverage cloud and data technologies to make business objectives measurable, helping organizations achieve their strategic goals. In this way we help organizations on their way to the future, by increasing work happiness and process efficiency. 💪🏽 𝐎𝐮𝐫 𝐜𝐮𝐥𝐭𝐮𝐫𝐞 With our office in Eindhoven we benefit from the technological and data driven innovations that push us forward. Started in 2021, we are a young future-oriented data-engineering agency with a communicative mindset. We like to work in a transparent, informal, and accessible manner. These values are the key drivers of our company and enable us to listen and understand the problems we are solving. We take away the frustration for the business analysts, data scientists or AI experts, and we give them the power to reveal insights hidden in the data. 🤝 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐰𝐢𝐭𝐡 𝐚 𝐩𝐫𝐨𝐯𝐞𝐧 𝐭𝐫𝐚𝐜𝐤 𝐫𝐞𝐜𝐨𝐫𝐝 Nationale-Nederlanden, Damen Shipyards, Rabobank, Nike, Driessen Autogroep etc. Show less

    • Insurance
    • 1 - 100 Employee
    • Lead Engineer (via Blenddata)
      • May 2022 - Jul 2023

      At Nationale-Nederlanden, I work as lead (devops) engineer within the Life & Pensions Data Analytics Team. The team is end-to-end responsible for the lakehouse platform which became the data hub for the entire business line. More than 50+ data sources are processed daily where the platform uses the following technologies as Terraform, Terragrunt, Azure DevOps, Python, Docker, Azure Data Factory, Databricks, Delta Lake. At Nationale-Nederlanden, I work as lead (devops) engineer within the Life & Pensions Data Analytics Team. The team is end-to-end responsible for the lakehouse platform which became the data hub for the entire business line. More than 50+ data sources are processed daily where the platform uses the following technologies as Terraform, Terragrunt, Azure DevOps, Python, Docker, Azure Data Factory, Databricks, Delta Lake.

    • Netherlands
    • Chemical Manufacturing
    • 700 & Above Employee
    • Lead Engineer (via Blenddata)
      • Nov 2021 - Apr 2022
    • Netherlands
    • Business Consulting and Services
    • 1 - 100 Employee
    • Data Engineer (via Blenddata)
      • Nov 2020 - Feb 2022

      At YouKnights, I'm currently creating a data infrastructure that helps the business realizing a shorter time to financial insight. The platform aggregates financial data from a variety of data sources (5+, as AFAS and Exact) and transforms this data into a standardized structure to be ingested into our data warehouse and financial dashboards. The key technologies and principles for the development of this financial platform are Azure Functions, Application Insights, Terraform, Python and Gitlab CI. Show less

    • Netherlands
    • Business Consulting and Services
    • 1 - 100 Employee
    • Data Engineer
      • Oct 2020 - Jan 2021

      Bright Cape guides companies through their digitization journey by building and implementing scalable, sustainable data sciences solutions while making use of the latest innovations in Machine Learning (ML) and Artificial Intelligence (AI). Bright Cape focus on optimization of business processes and combined with our expertise in experience design and human-data interaction we create lasting value for our customers Bright Cape guides companies through their digitization journey by building and implementing scalable, sustainable data sciences solutions while making use of the latest innovations in Machine Learning (ML) and Artificial Intelligence (AI). Bright Cape focus on optimization of business processes and combined with our expertise in experience design and human-data interaction we create lasting value for our customers

    • Switzerland
    • Software Development
    • 400 - 500 Employee
    • Machine Learning Engineer
      • Feb 2019 - Sep 2020

      Trifork inspires and teach customers and colleagues about new technological possibilities, build innovative software solutions and operate and maintain these for our customers. As Machine Learning Engineer I was responsibel for designing, developing and productizing predictive models. Trifork inspires and teach customers and colleagues about new technological possibilities, build innovative software solutions and operate and maintain these for our customers. As Machine Learning Engineer I was responsibel for designing, developing and productizing predictive models.

    • Netherlands
    • Staffing and Recruiting
    • 100 - 200 Employee
    • Machine Learning Engineer (via Trifork)
      • Feb 2019 - May 2020

      At Voort I developed a matching platform/algorithm where candidates and clients are brought together by a match score based on soft and hard skills. Based on the match score, a prediction, the best possible candidates are linked to a clients vacancy. At Voort I developed a matching platform/algorithm where candidates and clients are brought together by a match score based on soft and hard skills. Based on the match score, a prediction, the best possible candidates are linked to a clients vacancy.

    • Netherlands
    • Accounting
    • 700 & Above Employee
    • Machine Learning Engineer
      • Oct 2016 - Feb 2019

      BDO is an accountancy firm where I was part of the IT Data Management team which was responsible to bring the various line-of-services within BDO to the Azure (cloud) data platform. As a machine learning engineer I have designed, developed and productionalize several data science solutions in collaboration with the accounts to professionalize and improve the quality of there controls. In these projects I have mostly worked with unstructured data such as text and images. BDO is an accountancy firm where I was part of the IT Data Management team which was responsible to bring the various line-of-services within BDO to the Azure (cloud) data platform. As a machine learning engineer I have designed, developed and productionalize several data science solutions in collaboration with the accounts to professionalize and improve the quality of there controls. In these projects I have mostly worked with unstructured data such as text and images.

    • United Kingdom
    • Manufacturing
    • 700 & Above Employee
    • Research Data Scientist
      • Sep 2014 - Jul 2016

      Research scientist in the analytical chemistry and data science group of Unilever Research.

    • Thesis (Intern MSc)
      • Jun 2015 - Sep 2015

Education

  • Universiteit van Amsterdam
    Master of Science (Msc), Chemistry: Analytical Sciences
    2013 - 2016
  • Avans Hogeschool Breda
    Bachelor of Applied Science (BASc), Chemistry
    2009 - 2013
  • HAVO Varendonck College Asten
    Profile Physics and Health
    2003 - 2009

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