ANFreelancer profile translated to English.
Back to original languageAbout Ariel
I graduated from the ISEP engineering school with a specialization in Data Science and from the Data & AI master's program at Institut Polytechnique de Paris, which allowed me to take courses at Telecom Paris and Ecole Polytechnique.
I am a machine learning and data science engineer.
My expertise revolves around the fields of:
- Explainable Artificial Intelligence (XAI)
- Computer vision, particularly for the processing and segmentation of medical imagery
- NLP / LLMs
I work with various training techniques: supervised, semi-supervised, self-supervised, unsupervised, transfer, reinforcement.
I can work on isolated AI modules as well as end-to-end systems, including backend and frontend with the following technologies:
- Python (Django, Flask, Pandas)
- Java
- C++/C
- JavaScript (React.js)
- Cloud (GCP)
French
Native or bilingual
English
Native or bilingual
German
Conversational
Can work on-site
Paris (up to 50km)
Experience
- Lavergara.comData extraction and mining for product reviewsE-COMMERCEDecember 2024 - February 2025 (2 months)Paris, FranceDeveloped a Python solution for lavergara.com to extract and normalize customer reviews from Shopify, Amazon, Trustpilot, and other platforms. Applied VADER sentiment analysis to highlight key positive/negative feedback and provide a unified view of customer satisfaction.
- Local Sports AssociationWeb DevelopmentOctober 2024 - December 2024 (2 months)Redesigned the website for a local capoeira club, integrating updated information such as class schedules, event participation, and contact details. Added functionality for uploading and viewing videos. Built the site using HTML, CSS, and JavaScript, with PHP used to handle video uploads.
- Groupe Hospitalier Paris Saint Joseph (GHPSJ)Medical Imaging, Segmentation modelsApril 2022 - October 2022 (6 months)Paris, FranceDeveloped classification (ResNet) and segmentation (UNet) models to support the diagnosis of Gougerot-Sjögren syndrome using high-resolution histological images.Collaborated closely with pathologists to understand clinical needs and translate them into model specifications and preprocessing strategies.Built custom pipelines for section isolation, color normalization, and data augmentation based on interpretability insights to enhance prediction performance.
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Education
- Master of Data ScienceInstitut Polytechnique de Paris (Telecom Paris and Ecole Polytechnique)2022Master Data AI - Dual Degree
- Engineer curriculum Data Science Major - Dual Degree ISEPIssy-les-Moulineaux2022Engineer curriculum Data Science Major - Dual Degree ISEP