I was a part of the ADASE research group
, and Evgeny Burnaev was my advisor. I worked with multivariate forecasting, time series clustering, anomaly detection, fault detection, and discrete optimization. My findings were used in commercial software for cash management optimization (forecasts and recommendations for banks: distribution of cash among ATMs for lowering funding and cash-in-transit costs, improving client service, and satisfying demand). Skoltech professors have a lot to offer in terms of data science and other useful subjects. So as far as hard skills are concerned, I use them daily. This is the foundation for my job.
Skoltech also teaches you to see new opportunities at the intersection of areas. Our team swears by the Data Fusion approach (it presupposes achieving the greatest business effect by combining data and using machine learning algorithms in different areas). There is also a conference of the same name (data-fusion.ru) by VTB and the Skolkovo Foundation. So our whole team lives by Skoltech principles.