Experience
Hi, I’m Karine! I'm a data scientist who enjoys turning messy data into practical, real-world solutions.
I’ve been coding since 2017 across business functions - from customer analytics to supply chain operations.
All the while, focusing on bridging the gap between data, machine learning, and business impact.
I build data science and ML systems end to end, from experimentation and modeling to production-ready analytics tools.
My work includes predictive modeling, experimentation frameworks, and LLM-powered applications designed for real use, not just demos.
Always learning, always building. Let's connect:
LLM-powered chatbot enabled L'Oreal teams to query documents (incl. catalogs, SOPs) via natural language. Enabled scalable self-service, time savings, and reduced knowledge gaps.
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Built AI/ML demand forecasting platform to optimise production planning
using demand signals, historical sales trends, market insights & more.
Won L'Oreal's Global Tech Blazer award for innovation
Developed recommendation engine for "next best action" commercial insights
(optimal marketing channel, content, timing) personalised for each customer
Achieved $18 million sales uplift (highest YoY growth) and received 6 awards including
Data Science Excellence Award & Inspire Award for excellent delivery & leadership