Allphins
Thibault M. is an accomplished data scientist with a robust background in machine learning and data analysis. As the Lead Data Scientist at Allphins since January 2023, Thibault has continued to leverage expertise in data science. Previously, Thibault served as a Senior Data Scientist at Kayrros from April 2019 to January 2023, where contributions included developing a deep learning model for monitoring oil and gas well constructions using satellite imagery and geolocation data. Additional experience includes a Data Scientist internship at Praxidia, where Bayesian Networks were created to optimize sales, as well as a Data Scientist internship at Societe Generale Corporate and Investment Banking, focusing on client detection algorithms. Thibault's educational background includes a degree from CentraleSupélec, completed in 2019, and additional studies at Lycée Hoche in 2015.
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Allphins
Allphins is a new platform with a single mission: to provide customers, brokers, insurers and reinsurers with actionable insights on energy risks to make better and faster risk transfer decisions.Understanding risks related to energy assets is challenging due to the difficulty to find quality data and time required to perform an effective riskassessment.To address this, Allphins provides data, insights and the tools to analyze and price risks or design risk management programs. Our product runs analysis on diverse and new datasets while utilizing state of the art data science. We also aim to improve collaboration across the insurance value chain.