Mathias Laborde

Chatbot on retirement topic : • Design and implementation of a documentation chatbot focused on retirement related topics, powered by a RAG architecture → Achieved a 90% hit rate on the top 3 retrieved sources → Supported multiple document formats (PDFs, PowerPoint files, Excels, etc.) Jira incidents tickets helper : • Development of a decision support system for resolving newly created JIRA incidents tickets → Solution based on a RAG pipeline to retrieve similar historical tickets and relevant knowledge

Intelligent Champion Draft System (Recommander + Chatbot) • Designed a recommander system using statistical and similarity search methods to recommend optimal picks. Integrated LLM layer to allow natural queries. Deployed system via Django + Fast API, Docker & Cloud Run. usable by coaches during prepations phases

Data scientist in Luxury retail : • Time series clustering • Recommendation systems • Sales forecast Internal Project : • Research on generative AI and development of a chatbot to assist a company's customer service.

Data Scientist for the League of Legends team: • Developed and utilized statistical tools and artificial intelligence solutions to enhance team performance in France's premier league (example : Developed a solution using statistical and machine learning approaches to identify promising players based on game data, more informations on my other algorithms in private message) • Created a website with Django to centralize the outcomes of my algorithms, data, and visualizations. • Managed my personal MySQL databases and used Dataiku for data processing and analytics. • Created weekly reports on enemy teams • Automated 95% of my processes.

Fraud and Money Laundering Detection Project: • Researchs on anomaly detection techniques in time series, using both statistical approaches and machine learning. • Explored and utilized dimensionality reduction techniques (Variational Autoencoders, tSNE, UMAP) on fraud use cases. • Utilized PySpark for the analysis and processing of sports betting data. • Developed an outlier detection system and created a fraud risk scoring. • Implemented ameliorations based on business feedback and integrated CI/CD using GitLab.

Data Scientist for the League of Legends team: • Developed and utilized statistical tools and artificial intelligence solutions to enhance team performance in France's premier league (example: using a computer vision algorithm to detect wards and track player pathing through game replays) • Created and managed my personal MySQL databases • Created weekly reports on enemy teams