Freelancer profile translated to English.
Back to original languageAbout Félix
As a Data Scientist graduated from CentralSupélec and an Agronomist engineer from ENSAT, I specialize in developing efficient and robust AI applications. My unique professional background combines engineering and research in cutting-edge technologies, life sciences, and agriculture. This interdisciplinary expertise makes me a results-oriented engineer with a systemic approach and a sense of responsible design. Curious, rigorous, and with strong interpersonal skills, I design high-performance AI applications at a controlled cost.
Let's transform your complex data into systemic and high-performance AI applications. Contact me to discuss your project goals.
Services (non-exhaustive list):
- Audit of your business processes to identify automation opportunities
- Creation of functional agents (Chatbot, process automation, OAD, data aggregation...)
- Design of automated workflows with LangGraph (API, CRM, ERP, emails, files…)
- Integration of free (Mistral, Gemini) and paid (GPT, Claude, etc.) AI agents into your workflows for intelligent automated responses
- Connection with your tools: Notion, Airtable, Slack, Google Sheets, Stripe, etc.
- Implementation of automated monitoring dashboards compatible with LangFuse
- Training on the use of your workflows + personalized documentation
- Maintenance, debugging, and continuous optimization of your automations
- Awareness of the environmental impacts of generative AI
- Facilitation of the Digital Fresque (awareness of the environmental impacts of digital technology)
More skills and achievements on my website:
felixmortas.com
French
Native or bilingual
English
Native or bilingual
Spanish
Fluent
Remote only
Primarily works remotely
Experience
- AXA Group OperationsApprentice Data Scientist - Responsible Digital Mission ManagerBANKING AND INSURANCEOctober 2023 - April 2025 (1 year and 6 months)17th arrondissement, 75017 Paris, FranceParticipation in data collection for measuring the company's digital carbon footprint according to the GHG Protocol.Raising community awareness of the environmental impact of digital technology through various workshops (including the Digital Fresque).- Research and development of generative AI carbon footprint measurement (ChatGPT, Copilot, ...) in close collaboration with the 'Sustainable AI' research team.- Implementation of an internal tool for measuring the carbon footprint of generative AI.- Development of best practices for reducing GHG emissions for end-users and developers.Research and implementation of water footprint assessment for the company's data centers.Contribution to research on generative AI with The Shift Project as part of a partnership.
- Vergers UrbainsUrban Farmer ApprenticeAGRICULTUREMay 2021 - September 2023 (2 years and 4 months)Paris, FranceExperimentation on soil pollution in the 'Jardin Espérence' in Aubervilliers:- Bibliographical research on phytoremediation of heavy metals (Zinc, Mercury).- Design of the experimental plan.- Supervision of participatory workshops for the implementation and monitoring of the experiment (amendment, planting, sampling, results analysis).Referent for 'Le Toit du Bout du Monde':- Crop planning.- Supervision of members and conducting educational workshops.- Experimentation on the best rooftop substrate.Development of a nursery on the roof of the École de la Propreté:- Development of a business model.- Crop planning.- Project installation.- Maintenance and sales of products (communication, sales, invoicing).Participation in the implementation of various urban agriculture projects addressing urban resilience challenges, integrating food, energy, social, and economic issues.Implementation inspired by agroecology and permaculture, following a participatory, inclusive, and reproducible approach, complementary to peri-urban agriculture.Assistance with internal association organization:- Reorganization of electronic document management.- Internal training on project management.- Facilitation of the weekly team meeting.
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Education
- Master in Data ScienceCentraleSupélec2025Collecte, nettoyage, analyse exploratoire, préparation et modélisation (supervisée/non-supervisée) de données structurées avec Python et son ensemble de bibliothèques Data Science Mise en place de traitements (extractions de features, réduction de dimensions) et modélisations avancées (NLP traditionnel, LLM, Computer vision) Gestion du cycle de vie d’un modèle avec MLFlow et déploiement sur le web en intégrant une interface graphique Réalisation d'un traitement de calcul distribué (PySpark) sur AWS
- Agronomist EngineerENSAT2023Sciences fondamentales, agronomie, écologie, agriculture urbaine, bilan carbone, ACV Sciences économiques, marketing, gestion de projet, comptabilité, économie sociale et solidaire, innovation, stratégie d'entreprise, RSE, étude de marché Statistiques, modélisation, physique, SIG, informatique de base
Certifications
- Hugging Face Agents CourseHugging Face2025
