About 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...
French
Native or bilingual
English
Native or bilingual
Spanish
Conversational
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km), Bordeaux (up to 50km), Toulouse (up to 50km), Lyon (up to 50km), Nantes (up to 50km)
Experience
- FreelanceSenior Data ScientistCONSULTING AND AUDITSMarch 2023 - Today (3 years and 3 months)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 ScientistENTERTAINMENT AND LEISURESeptember 2019 - February 2023 (3 years and 5 months)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 AssistantJune 2018 - September 2018 (3 months)Los Angeles, United StatesRA in the Strategy department of UCLA Anderson School on a research project at the intersection of strategy, economics and psychology.
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Education
- Computer Science & Machine Learning422021Computer Science & Machine Learning
- Grande Ecole, Digital BusinessHEC PARIS2018Grande Ecole, Digital Business