I am a skilled data scientist, data engineer and solution architect. I hold a PhD in Mathematics from City University London and I offer a strong background in machine learning, statistical modelling and programming.
I believe that a successful data scientist should deliver data products in addition to analysis results, which distinguishes the role of the data scientist from the traditional analyst. I have extensive experience in full stack web development and interactive data visualisations. This allows me to deliver engaging and comprehensive data experiences, which significantly increases its usefulness. I have a track record in presenting challenging topics, and have been recognised with the Springer award for best presentation at the ECMTB 2014 conference.
It is my aim now to to use my skills to help businesses to utilise data at scale by building out end-to-end data science capabilities in the cloud.
Oct 2015 – Mar 2017
Oct 2015 – Mar 2017
Jan – Oct 2015
Project owner of Cnergy, a new big data warehouse service for smart meter data with a focus on collaborative data analsysis and research.
Dec 2013 – Oct 2015
Developing predictive models for energy consumption of private households using smart meters. Reviewing and managing of team members and interns. Implementing an online platform to commercialise results called Eneberg and Enechange.
Presentation at the 9th European Conference on Mathematical and Theoretical Biology. Awarded the Springer Award for best talk. Topic: Insights from the Application of Temporal Difference Learning in Models of Foraging.
Oct – Dec 2013
Analysis of energy consumption data of private households using smart meters and implementation of a web application to visualize results.
May – Dec 2013
Consultancy and development in modelling and learning algorithms.
Dec 2009 – Sep 2011
Assistant to the Head of Department Prof. Anders Krogh
5th BioSim Conference, Copenhagen, Denmark.
May 2008 – Jun 2009
Sep 2008 – Jun 2009
Oct 2006 – Mar 2008
Oct 2006 – Mar 2008
2011 – 2014
2010 – 2012
2009 – 2010
ERASMUS - Student Exchange Programme, University of Copenhagen, Denmark.
2006 – 2010
voluntary study project on the topic of "computer-based statistical evaluation"
course in mathematics for freshmen students
student representative in university commissions
member of the student’s representative body
tutorials introducing Linux, LATEX and the programming language R
Springer Award for best talk, 9th ECMTB 2014, Gothenburg, Sweden.
Travel Bursary, Future Fund, London, UK.
Graduate School Travel Bursary, City University London, UK.
Postgraduate Award, City University London, UK.
PhD studentship and fee waiving
Multimedia Programme 2009, Academic Senate of Humboldt University, Berlin, Germany.
funding of study project "computer-based statistical evaluation"
Python, R, Scala, Ruby, JS, C++, LaTeX, Perl, CSP, Octave, Matlab, Go, Dart
Big-Data, Hive, Spark, MapReduce, databases (SQL, Mongo, Crate, Neo4j), agile methodologies, full stack web development (Django, Rails, Celery, Angular, Polymer, D3), server administration, AWS, Azure, Google Compute Engine, OpenShift, Google APIs (Charts, Drive, Maps)
Introduction to Data Science, University of Washington online, 8 weeks.
Foundations of Business Strategy, University of Virginia, Darden School of Business online, 7 weeks.
Computer Networks, University of Washington, online, 10 weeks.
Social Network Analysis, University of Michigan, online, 8 weeks.
Game Theory, Stanford University, online, 7 weeks.
Introduction to Finance, University of Michigan, online, 13 weeks.
Machine Learning, Stanford University, online, 10 weeks.
Modelling, Nonlinear Dynamics, Stochastic and Complex Systems, Technical University of Denmark, summer school, 1 weeks.
Mathematics for Theoretical Biologists, Bernstein Center for Computational Neuroscience Berlin, summer school, 2 weeks.
Epigenetics, The Charité Berlin, autumn school, 1 weeks.