Kévin Rouillé

• Enrolled in Seoul National University’s Korean Language & Culture Program (Level 4 out of 6). • Completed the Startup Support Program for Foreign Students & Startup Academy Program at SNU Campus Town: designed the concept and business model for a mobile AI assistant for foreigners in Korea, providing concise, personalized answers to everyday questions by leveraging LLMs and local data sources. • Explored the Korean tech startup, student entrepreneurship, and venture capital ecosystems, along with the France-Korea and Silicon Valley-Korea networks. • Learned about entrepreneurship through meetings with founders and active participation in startup community events.

• Quantified the impact of telemarketing campaigns across a base of 33 million retail customers, increasing retention rates and improving ARPU despite challenging macroeconomic conditions. • Analyzed customer metrics and issued recommendations that increased campaign profitability through targeted customer profiles. • Developed and optimized 5 Dataiku DSS projects, reducing execution time by 66% through automation and process parallelization. • Produced and maintained Power BI dashboards, improving data accessibility for stakeholders and enabling faster decision-making on analyzed campaigns.

• Identified pain points in the subscription process of optical fiber plans by cross-referencing customer service calls with customers’ orders and profiles. • Built and trained a random forest model that predicted customers who were the most likely to call customer service. • Processed data and built dashboards in Dataiku DSS.

• Created and deployed a WordPress-based e-commerce website, managed hosting and SEO, set up Google Analytics via Google Tag Manager. • Optimized and automated some of the company’s processes (catalog management, marketing, sales) by embracing specialized IT tools. • Studied a use case of deep learning in visual arts: neural style transfer, using TensorFlow.