Best, North Brabant, Netherlands
I bring a strong background in data science, operations research, and team leadership across industry, government, and non-profit sectors. My experience includes roles as Lead and Senior Data Scientist, and as Professor of Supply Chain Management and Research Scientist at leading institutions including New York University Abu Dhabi and Eindhoven University of Technology My areas of expertise encompass data science, machine learning, AI, and big data, with a proficiency in algorithm development, deep learning, and neural networks. I have contributed to a wide range of impactful projects, including developing predictive models, statistical analyses, and risk assessment frameworks, as well as implementing advanced techniques in large language models (LLMs), natural language processing (NLP), image recognition, and anomaly detection. As a strategic and results-oriented thinker, I excel at tackling complex challenges by fostering innovation and delivering sustainable solutions. I enjoy leading cross-functional teams and managing complex projects from inception to completion, always fostering a culture of collaboration and strong communication. I highly value teamwork, believing that the best solutions are created through open, collective problem-solving. I believe in a leadership style that prioritizes transparency, integrity, and collaboration, empowering teams and individuals to succeed. I am passionate about leading through change and cultivating environments, where creativity and teamwork drive success. I hold a PhD in Applied Mathematics, and my research has always focused on stochastic operations research, particularly inventory and supply chain management. My work experience spans three continents: North America (McGill University and visitor at Carnegie Mellon University), Middle East (including Qatar University, and AUS and NYUAD in UAE) and Europe. I have taught a variety of courses in applied mathematics, computer science, and business, including operations management, supply chain management, and managerial statistics, and mentored and guided students across different fields and diverse backgrounds. Throughout my career, I have leveraged my skills to drive innovation and deliver impactful results, and I remain dedicated to advancing my expertise and delivering meaningful contributions.
As a Senior Data Scientist at DAF (via YER), I work on predictive and preventive maintenance solutions powered by big data and advanced modelling. My work includes building and validating predictive models, translating complex data into actionable insights, and supporting data-driven decision-making across maintenance and reliability domains.
Data Scientist, with a strong background in statistics and data analysis. Highly skilled in machine learning and text analytics. I have a proven track record of utilizing natural language processing (NLP) and large language models (LLMs) to extract insights from large text and unstructured data. In addition, I am experienced in building predictive and prescriptive models and developing machine learning pipelines. I have extensive experience working on diverse projects, spanning a wide range of topics, including income, sales and property taxes, text analysis, image recognition, and dashboard development. My versatile background has allowed me to develop a broad skill set in data science, including machine learning, statistical modeling, and data visualization. I have collaborated with cross-functional teams to identify business problems and deliver data-driven solutions that improve business outcomes. I am passionate about utilizing my expertise to drive actionable insights and improve decision-making processes. My passion for data science and machine learning has driven me to continuously learn and expand my skill set. I am constantly seeking opportunities to apply my expertise to new domains and challenges. From June 2020 till August 2022 I combined my work as a Data Scientist with being a part-time Scrum Master for multiple teams.
Conducting academic research on problems in inventory and supply chain management and logistics
Visiting Professor in Supply Chain Management in the Department of Marketing and Information Systems of the School of Business Administration. Teaching courses on supply chain management, operations management, and statistics, both in the undergraduate program and in the MBA program.