Having five years of experience in research and business, I rely on a strong background in business engineering and data science to drive impactful solutions. My workflow, centered on self-learning and communication, makes me tool-agnostic and agile-method oriented.
Recommendation of the optimal location for a new sales point based on predictive analysis, geomarketing, and customer segmentation across Belgium.
Predictive analysis of a new sales point based on the bio shops landscape and client profile localization in Wallonia.
Overview of the pharmaceutical landscape in Belgium through a descriptive and geographical analysis of active and closed pharmacies, past transfers, and the most demand-driven population.
Elicitation and segmentation of end-user requirements for data-driven decision support software.
Descriptive analysis of the company's current product categories and evaluation of the potential for a completely new category, including competitor analysis and their geographical presence in Belgium.
Thesis Title: “Exploring the place of the Self-Service technologies in data-driven decision-making & their target users: A Socio-technical framework bridging business and data world."
I learned to combine management and advanced data analytics, gaining expertise in big data, machine learning, and business intelligence to drive data-driven decision-making.
I learned to integrate business management and information technology, developing skills in data analysis, process optimization, and decision support to enhance business performance.
