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Data Scientist | Software Engineer
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EPFL
Data Scientist
June 23, 2026 – Present
swiss-wealth-rag-assistant
June 9, 2026 – Present
Production-minded RAG API for Swiss wealth management content using FastAPI, ChromaDB and OpenAI.
View Projectchrome-tab-tracker
February 12, 2025 – February 14, 2025
Google Chrome extension to automatically track and close inactive tabs making browsing experience lightweight.
View Projectalgorithmic-trading-technical-indicators
November 25, 2023 – December 3, 2023
Python implementation of simple algorithmic trading strategies using Momentum and Trend following technical indicators used by traders and investors in financial markets to analyze past market data and identify potential trends or patterns in the price and volume of an asset.
View Projectcollaborative-image-inpainting
January 20, 2020 – March 18, 2020
Tensorflow implementation of Collaborative Sampling for Image inpainting
View Projecthiggs_boson_prediction
August 8, 2019 – August 8, 2019
Classification from scratch (numpy only) : predict if a signature results from a Higgs Boson (signal) or some other process (background).
View ProjectData_Science_Portfolio
July 26, 2019 – February 11, 2020
Data Science Portfolio completed both in the academia and for self-learning.
View Projecthogwild-spark
May 16, 2019 – May 16, 2019
Implement Parallel synchronous and asynchronous versions of SGD in Spark on Kubernetes for learning support-vector machines.
View Projecttext_transfert_over_audio_channel
April 15, 2019 – April 15, 2019
Develop a proof of concept to show that we can exchange files “over the air” between two laptops, by using the speaker of one laptop as the transmitting device and the microphone of the other laptop as the receiving device in presence of an interfering third party.
View Projectbrazilian-e-commerce
April 1, 2019 – May 11, 2019
Data-driven strategic analysis of Olist, brazilian E-commerce platform.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, demonstrating initiative and self-learning. The variety of projects, from financial algorithms to web extensions, suggests a broad interest in technology. However, the lack of team-based or collaborative project descriptions makes it difficult to assess cultural fit in a professional team environment. The target role is 'Data Scientist', and the projects align well with this technical domain.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges. However, without psychometric test results or interview data, it is not possible to assess soft skills or operational fit.