Summary
Fanny Kassapian is a Data & AI Strategist with 8–10 years of experience blending analytics, engineering, and business strategy to make data accessible and actionable across organizations. She designs and executes data strategies and target architectures, having translated ELT-approved visions into roadmaps, teams, and product practices at clients like Radio Télévision Suisse and Erasmus MC. Equally comfortable leading delivery and people, she has built and upskilled analytics teams, acted as interim Product Owner, and driven adoption of data-mesh patterns and unified data models to cut time-to-insight. Her background in finance and risk analysis informs a rigorous, outcome-focused approach to governance and observability, while personal projects—like a job-visualization web map using dimensionality reduction—showcase a knack for human-centred data experiences. Fanny is particularly drawn to socially meaningful applications of AI across femtech, cleantech, and education, and prioritizes simplicity, lasting impact, and supportive team culture.
8 years of coding experience
6 years of employment as a software developer
Master of Science (MSc) in Finance (Distinction) Finance General, Master of Science (MSc) in Finance (Distinction) Finance General at Grenoble Ecole de Management
BSc in Mathematics & Physics (Classes Préparatoires) Mathematics, BSc in Mathematics & Physics (Classes Préparatoires) Mathematics at Lycée Notre Dame de Sion, Marseille, France
A level with distinction (French Baccalauréat in Sciences mention Bien) Science, A level with distinction (French Baccalauréat in Sciences mention Bien) Science at Lycée Sévigné, Marseille, France
French, English, Italian