Filips Fedotovs
Sciences at UCL
I help businesses achieve their goals through data analysis, combining standard analytics with advanced statistical and Machine Learning techniques, including supervised and unsupervised methods. I am particularly passionate about customer behaviour analytics and dynamic pricing models. Over a 10-year career, I have worked across the entire data lifecycle: from ETL and transformation to visualisation, forecasting, and predictive modelling: with a special focus on data transformation techniques. Parallel to my industry work, I have pursued academic research in high-energy physics, focusing on the search for Dark Matter and new physics. I also have strong interests in Astrophysics and Quantum Information Theory. My PhD research emphasised statistical methods and Machine Learning approaches such as Evolutionary Algorithms and Deep Learning. About a year ago, I co-founded Theodotos, where we are currently developing DataHive - a new data analysis tool aimed at addressing emerging gaps in scientific and engineering analytics. Outside of work, I enjoy electronics, software design, and recently started learning advance chess.