Maksim Karpov

Degree in International Relations
Lomonosov Moscow State University

Process Mining: Data Science in Action, Eindhoven University of Technology (Coursera, with honors) Certificate;

Data Culture Workshop on Mastering Teaching Skills (April 2019, Faculty of Computer Science, HSE University) Certificate;

Workshop «Modern machine learning and methods of teaching data analysis» (January 2018, HSE Study Center Voronovo, Moscow region) Certificate;

Third Machine Learning Summer School (July 17 - 23, 2017, Reading University, UK)  Certificate of Attendance.

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2019)

2nd year of study
Approved topic of thesis: Detection and prediction of storage area network anomalies by analysing historical data
Academic Supervisor: Ustyuzhanin, Andrey

Mentoring a group of students in the first project workshop from Yandex, HSE and Sirius. The theme of the project: «Segmentation of images of city scenes for controlling self-driving vehicles».

Crowd-science for solving big data processing problems. Increasingly, in business and science, we are faced with tasks that require data science expertise to solve them. Is it necessary to develop our own expertise in this area? Is it possible to attract external experts? Can I use the expertise of the data science community through platforms such as kaggle, coda lab or Yandex contest? How to formulate a problem in terms of clear and adequate solutions on these platforms. We will tell you about the ways to prepare tasks, features of the platforms and will go from the idea to the publication of the contest on one of them.