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A Big Data Visualization of financial patterns


  • Name: Pål Sundsøy
  • Email: sundsoy@gmail.com
  • Phone: (0047) 918 45 206
  • Nationality: Norway

Professional Profile

Physicist working as a Senior Data Scientist and researcher in the Big Data Analytics group at Telenor Research. My work is related to understanding financial, mobility and social behavior in large-scale behavioral datasets. Prior to Telenor Group, I was working for the European Space Agency and World Health Organization. Some of my hobbies are photography, data visualization, guitar, travelling and sports.

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Research projects

Publicatons, conferences, media exposure

30+ conference talks and 20+ scientific papers on Big Data/Data Science for Social Sciences.
Research cited in e.g. Wall Street Journal, MIT Technology Review, Science News, The Nation, Harvard Magazine, White House Report on Big Data
Main research collaborators: MIT Media Lab, MIT Sloan, Harvard, Flowminder.
Scientific commitee member at Netmob, MIT.

Selected publications

Predicting Individual Income Based on Deep Neural Networks
2016 International Conference on Artificial Intelligence.
Co-authored with MIT.

In this work, we show how socio-economic status in large mobile phone datasets can be accurately classified using deep learning, thus avoiding the cumbersome and manual feature engineering process in traditional Data Mining.
Impact of human mobility on the emergence of dengue epidemics in Pakistan.
PNAS (2015) Co-authored with Harvard University.
Press coverage: 30+ newspapers. Harvard Magazine, Bill Gates @ Twitter, Science Daily, Economic Times, Science News line, The Nation, India Today, Dagens Næringsliv, Dagens Medisin, DIGI, NRK Radio, Nasdaq ++
Big Data-Driven Marketing: How Machine Learning outperforms marketers' gut-feeling.
Co-authored with MIT Media Lab.
Press coverage: Gates Foundation, Bostinno
Comparing and visualizing the social spreading of products on a large-scale social network
Press coverage: Wall Street Journal, MIT Technology Review, White House Big Data Report, Science News
Using Patterns of Big Data to Track Human Migration
Published in Global Environmental Change (2016)
Co-authored with Flowminder & MIT.

In this work, we use mobility patterns from 6 million people in Bangladesh (based on mobile phone records) to better understand movement during Natural Disasters.
Press coverage: Climate and migration Coalition


Invited Speaker, United Nations Big Data conference, 2015: How Big Data can be used for Social Good and Poverty reduction
Telenor Group

Senior Data Scientist

Working in Big Data Analytics Group at Telenor Group Research towards all business units (Asia, Europe). Collaborating with Data Science teams @ MiT, Harvard, Northeastern
European Space Agency

Head Engineer

2006 - 2007
Application Specialist in the joint NASA/ESA/JAXA Hinode space mission project. Financed by European Space Agency (ESA) and Norwegian Space Agency. Based at Institute of Theoretical Astrophysics, University of Oslo, Norway.
World Health Organization

Database Developer

Database Developer in the unit of Health statistics and evidence. Development of database in relation to vital registration systems, and work related to statistical analysis.
Biotechnology, NTNU

Database Developer

2008 - 2006
Research assistant/Database Developer in a cooperation project with the Museum of Natural History and Archaeology.
Physics, NTNU

Student assistant

2006 - 2004
Student assistant in FY2045 Quantum Physics/TFY4250 Atomic and molecular physics.


Massachussetts Institute of Technology (MIT), 2012 : Mapping out large-scale social networks using mobile phone data

Just My Education

University of Geneva

PHD assistant

PHD assistant/Quantum Physics under guidance of Prof. Nicolas Gisin. Experimental quantum cryptography, quantum teleportation and quantum memory.
NTNU, Trondheim

Msc Physics

1999 - 2005
Master (Siv.ing) in Physics and Mathematics. Additional studies within Economics & Organizational Psychology after Msc.
UNSW, Sydney

Exch. Student

Exchange student, one term. Studies within mathematical modelling and advanced quantum mechanics.
Bjerkely Country College

Computer science

MLine of study: Computer programming within C++. Directed study within C++.



I am a self-learned photographer, and my interest in photography started back in 2005. So far I have been travelling in 65 countries, and my favorite is Myanmar/Burma. Check the video beneath or the pictures. I have written 3 photography books.
Go to my pictures

June 2016: Burma Open Art Exhibition, Deichmanske Bibliotek, Nydalen, Oslo
January 2016: Burma Open Art Exhibition, Rikshospitalet, Oslo


Telenor Group Big Data Conf (2014) : Mapping out Large-scale Human Mobillity using mobile phone data

Let's Keep In Touch

Pål Sundsøy
0274 Oslo, Norway
+47 918 45 206

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Pål Sundsøy