Thomas Mercier

– Designed and automated decision-making dashboards to monitor and forecast cloud consumption and IT resources – Developed AI and machine learning models in Python (forecasting, optimization) to improve financial transactions and infrastructure efficiency – Deployed AI solutions into production, including model integration into dashboards and internal tools – Built data-driven web applications using Flask and APIs to expose KPIs and predictive insights – Led end-to-end data & AI projects: business needs analysis, data preparation, modeling, deployment, testing and monitoring – Acted as a technical referent on data, BI and AI topics for internal teams Business Impact – Improved cost visibility and cloud financial governance – Contributed to cost optimization and performance gains through predictive analytics – Accelerated decision-making with automated, reliable and scalable BI solutions

– Created strategic dashboards for HR and financial departments, supporting top management decision-making – Analyzed, cleaned and modeled complex datasets for multiple business use cases – Developed backend tools and web applications (Python, Java, Flask) – Worked on cloud and containerized environments (AWS, Kubernetes) – Strengthened expertise in data science, BI, automation and industrialization

– Produced financial and P&L reporting for European banking activities – Monitored treasury operations and banking products – Analyzed risk and fraud-related transactions – Automated analyses using Python and VBA – Bridged financial data and business decision-making