Paris, Île-de-France, France
Currently helping the energy transition by enabling electricity flexibility at scale using Machine learning. In general, I enjoy bringing Machine Learning and Statistical Models to meaningful projects. Special interest in Energy Management, Electric mobility, Space Exploration and AI.
Tilt Energy is one of Europe’s pioneering AI-driven demand-side electricity flexibility platforms. Our mission is to unlock flexibility at scale to decarbonize heating, mobility, and the energy grid. We do so by managing buildings’ electrical assets and connecting them to the electricity system and markets. By shifting electricity demand we relieve tension from the grid, maximize the use of renewable produced energy, and reduce prices volatility and spikes. For the asset owner we reduce its carbon footprint and generate a new stream of revenue making the energy transition (more) profitable. This is how we envision the European energy transition - a 100% electric world powered by decarbonized energy, where everyone can contribute to ensuring affordable prices. http://tilt-energy.com
Bringing AI to medical biology in order to improve patient’s care - As a co-founder: Define the strategy, support fundraising and grow the company - As a CTO/CSO: Lead scientific and technical delivery (platform and algorithms), recruitment and team management of 6 engineers (PhD and Master degree) and 1 medical doctor.
• Lead Marketplace Optimisation: search, recommendation, pricing, design testing protocol • Lead Process Automation: Automate content moderation, detect fraud • Research new strategic direction: POC ML solutions and estimate value of new product features • Recruit & coach junior team members As the 1st data scientist: Prove the value and high potential of ML in the company.
• Work with Infor's top clients, world-known companies in Retails, Manufacturing and Distribution, to optimize their business. • Build POC and turn them into features in our existing product such as Pricing, Inventory Management or Customer Segmentation
• Work on Prognostic and Health Management of Assets using Machine Learning in Python. • My special use-case was to predict Hydraulic pump Failure to optimise down time on the field.