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Director of Machine Learning Assets, Visma
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Product manager and developer with a lot of technical experience and a lot of communication skills. Always communicating and explaining the point of it all. Experience from finance, the internet sector, data analysis and a lot of other projects.
Københavns Universitet - University of Copenhagen
M.S., Mathematics
January 1, 1989 – January 1, 1997
Visma
Director of Machine Learning Assets
March 1, 2024 – Present
Visma
Team Manager, Product Owner - Visma Machine Learning
February 1, 2019 – March 1, 2024
e-conomic
Product Owner, Machine Learning
July 1, 2016 – February 1, 2019
Copenhagen Area, Denmark
1:0
Partner, consultant
December 1, 2013 – June 1, 2016
Copenhagen Area, Denmark
Firmafon
Developer
June 1, 2012 – October 1, 2013
Copenhagen Area, Denmark
Carecord
Development lead/architect
January 1, 2011 – May 1, 2012
Copenhagen
ZYB
Developer
March 1, 2008 – December 1, 2008
Imity ApS
co-founder
May 1, 2006 – March 1, 2008
Claus Taler
Freelance advising, speaking, consulting - on software, digital, data and machine learning
January 1, 2006 – Present
Copenhagen
Ascio Technologies
Software Developer/Architect
April 1, 2001 – July 1, 2006
SimCorp A/S
Financial Consultant/Software Developer
February 1, 1998 – March 1, 2001
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on Machine Learning and data-driven product development, which is not directly aligned with an 'Android Developer' target role. While they have a diverse background including startup experience and various development roles, the recent decade has been heavily concentrated on ML/product management. This suggests a potential mismatch with a pure Android development role, which typically requires deep mobile-specific expertise. The breadth of experience, however, indicates adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, product ownership, and strategic thinking skills, particularly in the domain of Machine Learning. Their experience in leading teams and managing products suggests good operational fit for roles requiring both technical depth and managerial oversight. The descriptions indicate a proactive approach to introducing new methodologies and metrics.