Object Detection on Videos
A YOLO-based object detection project with a clean setup using pip, pre-commit hooks, linting, and testing.
A YOLO-based object detection project with a clean setup using pip, pre-commit hooks, linting, and testing.
Deep dive into diffusion models and their integration with U-Net architectures for image generation.
Predicting customer churn and clustering for targeted marketing strategies on a telecom dataset.
User-friendly application to read and convert ACCESS databases to CSV format efficiently.
Time series modeling using SARIMA/SARIMAX to predict future traffic patterns.
Hackathon project: Merging and analyzing 3 years of Chicago crime data.
Academic Background
Toulouse School of Economics (TSE)
Specialized in advanced statistical methods, econometric modeling, and machine learning applications. Focus on predictive analytics, time series analysis, and causal inference.
Ghunsa, Nepal / Paris, France
First semester as a volunteer English teacher in a remote mountain village in Nepal, followed by a 6-month internship at the General Delegation of Quebec in Paris.
Toulouse School of Economics (TSE)
Strong foundation in microeconomics, macroeconomics, and quantitative methods. Introduction to statistical analysis and programming with R and Python.
Lycée Lapérouse, Albi
Rotary Club, Puebla (Mexico)
I spent one year in Puebla, Mexico, as an exchange student. I followed the Mexican school program at UPAEP and lived in three different host families.
Professional Journey
CDI, AVISIA
Developed an AI-powered task automation tool for a major home improvement and design retail group. Designed and implemented full-stack architecture on Google Cloud Platform (GCP) for web and mobile applications, delivering scalable solutions to optimize operational workflows.
Internship, AVISIA
Developed a predictive model to assess the 3-year potential of existing clients in a multinational insurance company's portfolio. Tested the implementation of an MCP Agent using n8n for request orchestration and processing. Worked on a Python plugin for Dataiku enabling SAS code migration to SQL and Python.
Apprenticeship, Écologie Logistique
Developed computer vision models for vehicle detection in video streams and built a personal website to enhance coding skills. Intensive training in Git and GitHub workflows. Organized and prepared a data science hackathon for students focused on pollution analysis in Saint-Cyr and traffic impact assessment following the closure of a major artery for construction work.
Hackathon, TSE Junior Enterprise
Developed an NLP tool called "Verichat" to fact-check information and provide insights on members of the European Parliament. Got a partnership with AFP (Agence France Presse) to get access to their APIs. Presented our solution at Google's headquarters in Paris.
Internship, Écologie Logistique
Developed web scraping scripts for automated data retrieval and built econometric models to track and analyze pollution data. Deployed an application to convert Access databases to CSV format, improving data accessibility and workflow efficiency.
Mission, TSE Junior Enterprise
Developed and implemented a predictive model for ADDEV Materials, an aerospace company. Delivered actionable insights and data-driven recommendations.
Internship, General Delegation of Quebec in Paris (DGQP)
Project support on various events and client files. Events: Paris Air Show, VivaTech, Santexpo, MIPIM. Responsibilities: Prospecting and networking between Quebec and French companies. Organization and management of dense meeting schedules. Event logistics and interview coordination. Market segmentation and active search for key contacts.
Ghunsa, Nepal
Taught English to children in a remote mountain village near Everest. Developed teaching materials and organized educational activities.