Daniel Hopp

Daniel Hopp is a seasoned data scientist with extensive experience in applying advanced data analytics and machine learning techniques across various sectors. Currently serving as a data scientist for the United Nations Global Crisis Response Group since April 2020, Daniel also holds the position of emphasis editor for the Statistical Journal of the International Association for Official Statistics. Previously, as a senior data scientist at METR Building Management Systems GmbH, Daniel led efforts in expanding data services and developing innovative analytic solutions. Daniel's background includes roles such as analytics manager at PAMONO, analyst at Pretium Partners, and content creator at iknow.io, complemented by educational qualifications from Humboldt-Universität zu Berlin and New York University specializing in econometrics and economics.