Ai Solution Architect
Current
Mining House
Jan 2014 - Present
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Karsten Dalsgaard Email & Phone Number
CIO at Mining House
at
Mining House
LinkedIn matched
✓ Verified Jun 2026
3 data sources
Profile completeness 100%
Current company
Mining House
Role
CIO at Mining House
Location
Copenhagen, Capital Region Of Denmark, Denmark
Who is Karsten Dalsgaard? Overview
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Quick answer
Karsten Dalsgaard is listed as CIO at Mining House at Mining House, based in Copenhagen, Capital Region Of Denmark, Denmark. AeroLeads shows a matched LinkedIn profile for Karsten Dalsgaard.
Karsten Dalsgaard previously worked as AI Solution Architect at Mining House and Predictive Solution Architect, Big Data at Mining House. Karsten Dalsgaard holds Master Of Science (M.Sc.) from Danmarks Tekniske Universitet.
Profile bio
About Karsten Dalsgaard
Karsten Dalsgaard is a CIO at Mining House at Mining House. He possess expertise in predictive analytics, telco, business analytics, predictive modeling, data mining and 28 more skills. He is proficient in Danish and English. Colleagues describe him as "Karsten is considered to be one of the brightest data miners across Group. He has a very data-driven mindset, and if being asked, he is able to build a machinery of predictive models with various applications. He has been a great advisor in many international projects. In addition to this he is also a social and fun guy to hang out with - even if Danish and Norwegians do not always understand each other - but then we easily continue in english." and ""
Listed skills include Predictive Analytics, Telco, Business Analytics, Predictive Modeling, and 29 others.
Current workplace
Karsten Dalsgaard's current company
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Mining House
17 roles
Karsten Dalsgaard work experience
A career timeline built from the work history available for this profile.
Predictive Solution Architect, Big Data
Current
Mining House
Independent consultant, with expertise in defining, designing and exploiting Big Data capabilities.
Mar 2013 - Present
Cio, Partner At Ihabio
Ihabio
iHABIO combines data mining/predictive analytics and market research - resulting in actionable insights and intelligent BI solutions.www.ihabio.com
Aug 2015 - Nov 2016
Data Mining Expert, Business Controlling & Finance
Predictive analytical solution architecture design, defining Telenors B2B-CRM.Industrial Supervisor for Ms. Christine von Seelen Schou's industrial PhD about situational use of smart phones.
May 2012 - Mar 2013
Team Leader Consumer Value Team, Data Mining
Predictive decision management for CRM and segmentation problems.Industrial Supervisor for Ms. Christine von Seelen Schou's industrial PhD about situational use of smart phones.
Nov 2011 - May 2012
Chief Architect, Campaign Management
Designing and implementing: Optimised Campaign Management - leveraging the power of predictive marketing and algorithms used for operational research.
May 2008 - Oct 2011
Senior Data Mining, Specialist
Consumer division. Intelligent targeting of customer outbound activities. Optimising cross sell, up sell and churn activities.
Mar 2008 - Apr 2009
Solution Architect, Global Services
Spss
Lead Solutions Architect. Bank and retail industry.
Nov 2007 - Feb 2008
External Consultant, Spss Predictive Analytics Team, Global Services
Lead Solutions Architect. Leading and directing the design and implementation of processes for Analytical Building Blocks – Big Data structures for predictive analytics and segmentation & Productive Predictive Marketing.
Feb 2007 - Oct 2007
External Consultant, Spss Predictive Analytics Team, World Wide Services
Project Manager. Rolling out Data Mining CRISP processes to enhance the current marketing capabilities.
Sep 2006 - Jan 2007
External Consultant, Spss Predictive Analytics Team, World Wide Services.
Coaching consumer and enterprise divisions in optimal business integration of Predictive Data Mining.
Mar 2006 - Aug 2006
Solutions Architect, Predictive Analytics Team, World Wide Services
Spss
Solution Selling. Defining, designing, implementation of real time scorings for applied predictive marketing applications.
Apr 2004 - Dec 2005
Senior Consultant, Web Mining
Unispeed A/S:
Solution Selling, Partner Management. Real time web targeting.
Jun 2002 - Mar 2004
Senior Consultant, Data Mining
Spss
World wide expert in predictive e-com solutions. Developed and integrated customer behaviour targeting solution with large websites. Developed methods for optimal digital advertisement in real time.
Jan 2000 - Jun 2002
Project Manager, Data Mining.
Neurotech A/S
Danish consultant company, offering commercial data mining solutions.
Jan 1997 - Dec 1999
System Programmer
Scanjour
System Programming document retrieval and management.
Aug 1995 - Dec 1996
Scientific Assistant
The Center Of Biological Sequence Analysis
Developed methods for cleaning and searching large databases containing biological sequence information of DNA's
Feb 1994 - Jul 1995
2 education records
Karsten Dalsgaard education
Master Of Science (M.Sc.)
Bachelor Of Science In Engineering
The Engineering Academy Of Denmark
FAQ
Frequently asked questions about Karsten Dalsgaard
Quick answers generated from the profile data available on this page.
What company does Karsten Dalsgaard work for?
Karsten Dalsgaard works for Mining House.
What is Karsten Dalsgaard's role at Mining House?
Karsten Dalsgaard is listed as CIO at Mining House at Mining House.
Where is Karsten Dalsgaard based?
Karsten Dalsgaard is based in Copenhagen, Capital Region Of Denmark, Denmark while working with Mining House.
What companies has Karsten Dalsgaard worked for?
Karsten Dalsgaard has worked for Mining House, Ihabio, Telenor Dk, Sonofon, and Spss.
How can I contact Karsten Dalsgaard?
You can use AeroLeads to view verified contact signals for Karsten Dalsgaard at Mining House, including work email, phone, and LinkedIn data when available.
What schools did Karsten Dalsgaard attend?
Karsten Dalsgaard holds Master Of Science (M.Sc.) from Danmarks Tekniske Universitet.
What skills is Karsten Dalsgaard known for?
Karsten Dalsgaard is listed with skills including Predictive Analytics, Telco, Business Analytics, Predictive Modeling, Data Mining, Data Warehousing, International Project Management, and Software Development.
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