Data science

  • In my current role, I have built up new data science function at Popsa, a printed products company. I work with both Deep Learning models in tensorflow-keras, as well as some 'good old fashioned' ML models in scipy, scikit-learn and the likes, both exposing them as APIs for mobile clients, and doing embedded processing.
    I have made part of the work available here as a Python package called G&T
  • In my previous position at BBOXX, I led a Data Insights team, applying machine learning methods for customer analytics - e.g. using non-linear classifiers for predicting risk of customer default
  • Natural language processing - I've worked on named entity recognition for recruitment at WorkDigital, and in my spare time e.g. this sentiment analysis or this analysis of a unique spam chain
  • 'Classical' computer vision - I've used a 'first principles' approach to create a pool-ball tracking model, see my pydata Warsaw talk - slides here

Academic interests

In my research at UCL, I was building machine learning models of human category learning. For example, I optimised training for human learners using models which incorporated human limitations, to improve human performance in a classification task (NeurIPS paper) My general academic interests span many areas in cognitive science and more specifically decision making. I am also keen to apply my experience from conducting studies in business settings.

Other interests

Outside of academia, I have various other interests. They include:

  • Polish third sector - I was the CTO and co-founder of WayMore . We provided a platform for people to raise money for charities through sponsored challenges. I build the web platform in Django, integrated it with payment providers, and took care of legal and financial aspect of running a limited company.
  • Data analytics . I previously worked on recruitment solutions for WorkDigital .
  • Film photography - @lukaszonfilm