This practice was founded in 2019 by the owner Michele Dallachiesa in Munich, Germany. We rely on a network of top-notch experts in Data Engineering, Business Intelligence, Data Science and Artificial Intelligence. Our partners are mostly based in Germany, share a vision & common values, and have experience working together. As a team, we bring together our energy, experience and skills to deliver exceptional quality to our clients.

Michele Dallachiesa, Ph.D.


Michele Dallachiesa is a data scientist with data engineering experience. As a consultant, he helped more than ten clients on use cases in finance, marketing, mobility, retail, e-commerce, customer support, robotics, and regulatory compliance. His technical competencies include batch and stream big data processing, business intelligence, data science, and machine learning. Previously, he served as technical co-founder of an aerial robotics startup and a network visualization software with prestigious clients including Google, Microsoft, IBM, and NASA.

Michele holds a Ph.D. in computer science earned for his research on querying, mining, and storing uncertain data, with a special interest in data series. He co-authored ten papers in top-tier publications on data management, including SIGMOD, VLDB, EDBT, KAIS, and DKE.

Professional & Industry Experience

Michele has been a data science consultant for four years. Previously, he served as lead data scientist and senior data engineer at Minodes, a Telefónica company since 2017. He was founder and CTO of an aerial robotics startup between 2014 and 2017. He earned his Ph.D. between 2009 and 2014 in CS at the University of Trento, Italy. He visited as a research associate the IBM T.J. Watson Research Center and the Qatar Computing Research Institute.

Notable projects

Michele enjoys new challenges, as proven by the wide spectrum of use cases he contributed to in the last decade: contact center forecasting, text analytics for regulatory compliance, forecasting for megaprojects, demand forecasting for manufacturing, financial predictive models & APIs for tax filing services, marketing attribution modeling, adaptive traffic lights optimization, optimization of schedules in public transportation, visual analysis of business processes, contact tracing for COVID-19, city-scale People’s movement analytics, location intelligence for retail analytics, and cloud robotics with drone charging stations.