At RelevanC, a dynamic entity within the renowned Casino Group, we blend innovation with retail prowess to reshape customer engagement and advertising strategies through cutting-edge data-driven insights.1) Innovative Machine Learning Solutions:Led the development of a groundbreaking algorithm quantifying the affinity between ads and individual customers, elevating personalized product recommendations.Engineered a second algorithm predicting ad budget allocation, optimizing resources based on date, product, and targeting strategy.2) Cloud Technology Expertise:Venturing into the realm of cloud technologies, I played a pivotal role in integrating scalable solutions into our workflow. This experience not only propelled our projects but also solidified my role as a data scientist with a holistic approach to innovation and efficiency.

1) Theresis, European Research Center:Initiated my foray into a research-centric domain at Theresis, a distinguished European center renowned for its expertise in microelectronics and data science.Collaborated with seasoned research scientists, gaining insights into cutting-edge advancements and methodologies in the field.2) Autonomous Drone Navigation Project:Spearheaded a groundbreaking project implementing a deep neural network using reinforcement learning.Empowered a drone to navigate autonomously, leveraging insights from a frontal camera to avoid collisions.This immersive experience at Theresis not only marked my introduction to the intricate world of research but also provided an invaluable opportunity to collaborate with seasoned research scientists. The intersection of microelectronics and data science at Theresis set the stage for a transformative journey into the realm of technological innovation.

1) Painting Department Analysis:Analyzed crucial data from the painting department, a pivotal step in the car manufacturing pipeline.Developed insightful dashboards using QlikView, a renowned BI tool, for the management team.Streamlined performance monitoring, providing actionable insights to enhance operational efficiency.2) International Collaborative Environment:Thrived in an international setting, collaborating with individuals from diverse backgrounds.Engaged with tens of different nationalities, enriching my professional and cultural perspectives.In the heart of Audi Brussels, a hub of innovation and hybrid car production, I seamlessly blended data analysis with impactful visualizations, contributing to enhanced operational performance. The experience in this dynamic, internationally diverse environment broadened both my technical and intercultural competencies.

1) R&D Project on Hypertension:Collaborated with R&D Director and a medical professional.Developed a machine learning algorithm for predicting and diagnosing hypertension.Bridged data science and medicine for groundbreaking healthcare solutions.2) Pricing Strategies for Richardson:Crafted algorithms employing advanced techniques like Peer Pricing.Calculated optimal prices tailored to each customer of Richardson.Gained insights into data-driven decision-making for strategic business initiatives.In this dynamic startup environment, I navigated dual responsibilities, contributing to innovative projects that fused technology with healthcare and business strategy on price policy for a big company with millions of clients and multiple stores.

Embarking on a one-month blue-collar internship at Naval Group during my inaugural year at Central, I was thrust into the intricacies of military shipyards. Tasked with optimizing database efficiency, I delved into on-premise data files, unraveling their complexities. My mission extended beyond mere organization – it involved the strategic fusion of disparate data sources. Navigating through diverse datasets, I adeptly devised a system to seamlessly link critical information dispersed across multiple files. This hands-on experience not only refined my organizational prowess but also underscored the pivotal role of data cohesion in streamlining maintenance procedures