Daniel Meyer, dipl.-Ing., EMBA

Daniel Meyer, dipl.-Ing., EMBA has a diverse work experience spanning over many years. Daniel is currently serving as the Chief Scientific Officer (CSO) at HypoDossier since February 2022. Prior to this role, Daniel worked at Zürcher Kantonalbank, where they held various positions. From January 2021 to February 2022, they were a DevOps Solution Engineer and Agile Team Lead, responsible for managing an agile DevOps team, resource planning, recruiting, and cost control. From June 2019 to December 2020, they served as an Expert Data Scientist in Client Analytics and Product Owner, focusing on developing data models, analyzing client activities, and consulting sales and marketing. From May 2017 to May 2019, they worked as an Expert Data Scientist and Deputy Team Leader, leading initiatives in data warehousing and analytics for the investment business. Prior to that, from May 2012 to April 2017, Daniel held the position of Expert GIS Analyst and Deputy Team Leader, specializing in spatial and statistical analyses of real estate markets.

Before joining Zürcher Kantonalbank, Daniel worked at PwC as an Assistant Manager Human Ressource Consulting, where they contributed to initiatives in organizational design, transformation, and change management, as well as strategic workforce planning and talent management from October 2011 to May 2012.

Earlier in their career, Daniel worked as a Consultant in Spatial Development and Traffic Planning at büro widmer ag from September 2009 to February 2011. Daniel utilized GIS for geo-related analyses and led projects focused on spatial development and traffic concepts. Prior to that, they held a similar role at ewp AG from March 2007 to August 2009. Daniel's career began with an internship at Amt für Raumplanung Kt. TG in November 2004, where they gained initial exposure to spatial planning.

Daniel Meyer has a comprehensive education history in various fields. In 2001, they obtained a Master of Science degree in Geomatics Engineering from ETH Zürich, and later pursued a Master of Advanced Studies degree in Management, Technology, and Economics from the same institution. From 2017 to 2018, Daniel completed a series of online certificate courses in Data Science through various MOOCs, including Stanford and Johns Hopkins. In 2020, they pursued online certificates in Organizational Leadership through various MOOCs offered by Michigan University. Additionally, Daniel has obtained several certifications to enhance their skill set. These include a Leading People and Teams Specialization certificate from Coursera in July 2020, and Applied Data Science with Python Specialization certificate from Coursera in November 2018. Daniel also received certification in Data Warehousing for Business Intelligence Specialization, Data Science Specialization, and other related courses from Coursera and DataCamp. Daniel's commitment to continuous learning is evident through their pursuit of various educational opportunities and certifications.