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Feelingstream, CTO | Building Customer Service automation and insight platform for large enterprises
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Helping companies to increase sales leads from customer conversations. We listen every call, email and chat conversation and tunr them into new sales leads
TalTech – Tallinn University of Technology
PhD, Engineering Physics
January 1, 2003 – January 1, 2009
TalTech – Tallinn University of Technology
MSc, Engineering Physics
January 1, 2001 – January 1, 2003
TalTech – Tallinn University of Technology
BSc, Engineering Physics
January 1, 1997 – January 1, 2001
Gustav Adolfi Gümnaasium
Math, Physics
January 1, 1994 – January 1, 1997
Feelingstream - sales success platform
Co-founder, CTO
September 1, 2015 – Present
Tallinn
NORTAL
Helping companies to find BIG DATA and Machine Learning based business models and usecases.
March 1, 2014 – November 1, 2017
Decider Lab
Founder, CEO
April 1, 2012 – September 1, 2014
Tallinn
OK Interactive (OKIA)
CEO
March 1, 2010 – March 1, 2012
Danske Bank
Head of Cash Management and Payments + Head of Channels, Member of Brand's Management Team
July 1, 2009 – February 1, 2010
Estonian Banking Association
Head of Internet Banking Security Committee
January 1, 2008 – February 1, 2010
Pankade Kaardikeskuse AS
Member of Supervisory Board
November 1, 2007 – June 1, 2008
Danske Bank
Head of Channels Development Department, Member of Brand's Management Team
May 1, 2007 – June 1, 2009
Estonian Banking Association
Member of Internet Banking Security Committee
October 1, 2005 – January 1, 2008
Estonian Banking Association
Member of Payment Cards Committee
March 1, 2005 – June 1, 2009
Danske Bank
Head of Electronic Banking Department
April 1, 2004 – May 1, 2007
Danske Bank
Head of E-banking
April 1, 2002 – April 1, 2004
Institute of Cybernetics at Tallinn University of Technology
Engineer
February 1, 2002 – December 1, 2014
Tallinn
Danske Bank
Project Manger (Payment Cards)
March 1, 2000 – April 1, 2002
Data Visualization
Coursera Course Certificates
June 24, 2026 – Present
Developing Data Products
Coursera Course Certificates
June 24, 2026 – Present
Practical Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Reproducible Research
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning (Andrew Ng)
Coursera
June 24, 2026 – Present
Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
Regression Models
Coursera Course Certificates
June 24, 2026 – Present
Exploratory Data Analysis
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse career path, including co-founding a startup, leading Big Data initiatives at a major consultancy, and holding various management positions in banking, suggests adaptability and an entrepreneurial spirit. Their academic background and continuous certification in data science topics show a strong drive for learning and staying current with technology. The breadth of experience across different industries (AI platform, consulting, banking, research) indicates a versatile individual who could adapt to various organizational cultures. The target role of 'Data Analyst' might be a step down in terms of direct leadership responsibility compared to previous roles, but the technical skills align well.
Soft Skills & Operational Fit
The candidate's extensive leadership experience (CTO, CEO, Head of Departments) suggests strong leadership, strategic thinking, and communication skills. Their background in identifying business models and use-cases for Big Data and Machine Learning indicates a results-oriented approach and an ability to translate technical insights into business value. The academic background in Engineering Physics implies a rigorous, analytical mindset. However, without specific psychometric test results, it's difficult to assess stress handling or team collaboration directly.