À propos de Myriam
From raw data to strategic recommendations — I build AI agents, dashboards and predictive models that actually get used.
With a hybrid background from HEC Paris and École 42, I built my expertise as a Data Scientist within Ubisoft's strategic planning teams, working directly with top management.
I now help companies turn their data into decisions and automation: customer knowledge, AI agents, predictive modeling, dashboards, and data-driven business strategy. I cover the full chain from raw data to strategic recommendation, with one guiding principle: every deliverable must either back a concrete business decision or translate into operational gain.
I'm comfortable talking to both technical teams and C-level stakeholders, and I deliver end-to-end: Python, ML, LangChain, Vertex AI, Tableau, Power BI, Snowflake, Databricks, Make, n8n...
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Espagnol
Capacité professionnelle limitée
Arabe
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km), Bordeaux (jusqu’à 50 km), Toulouse (jusqu’à 50 km), Lyon (jusqu’à 50 km), Nantes (jusqu’à 50 km)
Expériences
- FreelanceSenior Data ScientistCONSEIL & AUDITmars 2023 - Aujourd'hui (3 ans et 3 mois)Paris, France
Delivering end-to-end data and AI projects, from strategy to production, from raw data to strategy
- Designing and delivering a French gov. certified agentic AI training program for corporate clients - ongoing (Thesis)
- Built and deployed a personalized AI booking agent for a surf school (React, Vertex AI, Make) - full automation of the client journey
- Led data strategy, automation and built an AI-powered document analysis tool for a major law firm over 18 months (Python, Tableau, Databricks)
- Built a sports booking app (padel/tennis marketplace) and conducted a strategic market analysis for an entrepreneur launching in Morocco (React Native, Supabase)
- Designed an athlete performance measurement tool with an intuitive dashboard built for non-technical users (surf coaching center)
- UBISOFTGroup Strategic Planning Data ScientistDIVERTISSEMENTS & LOISIRSseptembre 2019 - février 2023 (3 ans et 5 mois)Paris, France- Coded a financial modelling tool in Python that applies financial hypothesis to forecast the company's P&L- Provided analysis based on financial data, simulations and market research to build the company's strategy- Built a segmentation model using unsupervised methods to cluster players, created a dashboard accessible to all teams, and presented use-cases and analysis led with the model- Created a "Coding Club" to introduce people from the team to coding and help them initiate coding projects in their work
- UCLA ANDERSON SCHOOL OF MANAGEMENTResearch Assistantjuin 2018 - septembre 2018 (3 mois)Los Angeles, États-UnisRA in the Strategy department of UCLA Anderson School on a research project at the intersection of strategy, economics and psychology.
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Formations
- Computer Science & Machine Learning422021Computer Science & Machine Learning
- Grande Ecole, Digital BusinessHEC PARIS2018Grande Ecole, Digital Business