Niels De Vries Email & Phone Number
@bol.com
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Who is Niels De Vries? Overview
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Niels De Vries is listed as Data Scientist (part-time) at TenneT, based in Utrecht, Netherlands. AeroLeads shows a work email signal at bol.com and a matched LinkedIn profile for Niels De Vries.
Niels De Vries previously worked as Data Engineer (a.i.) at Censo and Freelance Data Scientist / Engineer at Kiwi Data. Niels De Vries holds Master, Business Informatics (Specialization: Applied Data Science) from Utrecht University.
Email format at TenneT
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AeroLeads found 1 current-domain work email signal for Niels De Vries. Compare company email patterns before reaching out.
About Niels De Vries
Innovative and results-oriented, I am a dynamic entrepreneurial and social geek who thrives on embracing new challenges. With a strong passion for technology, both in software and hardware, I am particularly drawn to the practical applications of data science. I draw boundless energy and motivation from the limitless possibilities that arise from working with data, ranging from highly quality data analyses to building complex algorithms. I like working in settings where uncertainty is prevalent, as they provide me with the opportunity to architect and develop innovative data solutions and assemble strong teams. As an individual who seeks to make a tangible impact, I am dedicated to bringing my enthusiasm and skills to projects that demand creativity, team building, analytical thinking and a practical problem solving mindset.
Listed skills include Togaf, Consulting, Market, Arduino, and 87 others.
Niels De Vries's current company
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Niels De Vries work experience
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Data Engineer (A.I.)
CurrentAs an External Data Engineer, I lead the development of a cutting-edge data platform to address the increasing complexity and data-driven nature of the energy market. Our focus is on constructing a robust data platform, designed to centralize and streamline data from diverse sources. By developing efficient data pipelines, we aim to create a foundation for insightful analyses, machine learning models, and reports, empowering data-driven decision-making and innovation to drive sustainability for businesses.
Freelance Data Scientist / Engineer
CurrentMy goal is to help companies grow their Data Science & AI potential by prioritizing products over paperwork to make real-world impact. By offering Data Science, Data Engineering and Data Analytics services, I aim to build data solutions ranging from machine learning models and optimization algorithm to robust data pipelines and interactive dashboards. Raised with a Kiwi mentality, characterized by helpfulness, pragmatism, optimism, and a genuine can-do spirit, I'm here to infuse that Kiwi essence into your data challenges!
Senior Data Scientist Logistics
Development of optimization algorithms with the aim of maximizing the efficiency of our logistical network in the most cost-effective way. Collaborated in two teams, with one team dedicated to optimizing stock allocation for millions of products delivered by thousands of partners, considering various logistical constraints. The second team focused on refining workforce planning by integrating forecasts derived from stock allocations and demand forecasts, addressing the subsequent optimization process.Responsibilities: - Architect, develop, maintain and innovate on large integer programs to allocate stock - Develop non-linear optimization software to optimize workforce planning - Develop monte carlo simulations to optimize workforce planning - Develop streamlit applications to interact with optimization and simulations - Performing technical interviews & creating assignments - Facilitate and optimize the Scrum process as scrum master - Coach other data scientists to further their development - Support the product manager in developing a long-term vision - Organizing knowledge sharing events - Consulting other DS teams
Medior Data Scientist Logistics
Develop forecasting and simulation tools designed for operational teams, enabling them to oversee, control, and guide the logistical network to enhance resource utilization.Responsibilities: - Developing forecasting & simulation DS software products - Running simulations and analyses to improve the logistical network - Maintaining and improving DS software products - Performing technical interviews - Leading DS setup of a new team - Organizing knowledge sharing events
Medior Data Scientist Content
Moving into a medior role came with increased responsibilities. These included not just maintaining expertise in developing machine learning models and conducting complex data analyses but also leading in architecture, team development, supporting junior team members, and consulting with other data science teams.Responsibilities: - Building MVP’s and POC’s of Data Science Solutions (NLP & Computer Vision) - Running data analyses - Maintaining and improving DS software products - Consulting other DS teams - Architecting DS Solutions
Junior Data Scientist - Content
Building DS products based on unstructured product data ranging from titles, descriptions, images and attributes. My role involved constructing and deploying machine learning models and conducting complex data analyzes to improve product content.Responsibilities: - Building MVP’s and POC’s of Data Science Solutions (NLP & Computer Vision) - Running data analyses - Maintaining and improving DS software products
Data Scientist
Research on the application of multivariate sequential classification for the purpose of medical adverse event prediction.Specialization: time series feature extraction techniques
Student-Assistant Information Sciences
Assisting lecturers at the following courses:- Statistics- Mobile programming (C#)- Persuasive technologies
Co-Founder
Co-founder of the start-up CrowdConsole. CrowdConsole develops innovative mobile marketing games for public area's.
Data-Analyst
Feasibility study on concentric diversification in the context of a large car repairing company (internally graded with a 9).
Data-Analyst
Intern process optimization: Research on logistic process optimization
Tutor Accountancy
Niels De Vries education
Master, Business Informatics (Specialization: Applied Data Science)
Pre-Master, Informatiekunde
Minor, Chinese Culture And Economics
Bachelor Of Business Administration (Bba), Business Management
Frequently asked questions about Niels De Vries
Quick answers generated from the profile data available on this page.
What company does Niels De Vries work for?
Niels De Vries works for TenneT.
What is Niels De Vries's role at TenneT?
Niels De Vries is listed as Data Scientist (part-time) at TenneT.
What is Niels De Vries's email address?
AeroLeads has found 1 work email signal at @bol.com for Niels De Vries at TenneT.
Where is Niels De Vries based?
Niels De Vries is based in Utrecht, Netherlands while working with TenneT.
What companies has Niels De Vries worked for?
Niels De Vries has worked for Tennet, Censo, Kiwi Data, Bol, and Umc Utrecht.
How can I contact Niels De Vries?
You can use AeroLeads to view verified contact signals for Niels De Vries at TenneT, including work email, phone, and LinkedIn data when available.
What schools did Niels De Vries attend?
Niels De Vries holds Master, Business Informatics (Specialization: Applied Data Science) from Utrecht University.
What skills is Niels De Vries known for?
Niels De Vries is listed with skills including Togaf, Consulting, Market, Arduino, A2, Sales, Enterprise Risk Management, and Visual Studio.
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