Analytics
- Python
- SQL
This track is only available in Russian
Each Yandex service accumulates a huge amount of data. We analyze this data to improve our products and make them more user-friendly.
Our analysts heavily rely on mathematics, statistics, probability theory, as well as cutting-edge technologies, including neural networks, CatBoost, kNN search, clustering algorithms, and anomaly detection.
This track focuses on the kind of problems our Data Science specialists solve.
- Formulating and confirming hypotheses
- Conducting experiments
- Implementing algorithmic solutions
Prizes
- 500,000 RUBFirst place
- 250,000 RUBSecond place
- 200,000 RUBThird place
- 150,000 RUBFourth place
- 100,000 RUBFifth place
Rounds
- QualifyingYou may compete in several categories. The best performing participants will go to the semi-finals
- Semi-finalsYou only need to choose one track. The top 20 competitors in each will advance to the finals
- FinalsAn in-person competition in Almaty. The winners will receive cash prizes
Team
- Sergey Nogtev
Head of Antifraud analytics at Yandex Go - Andrei Ulianov
Analyst (Crowd) - Anton Kolotov
Data Scientist (Yandex.Lavka) - Ivan Lomakin
Analyst (E-commerce Antifraud Team) - Nadine Goltsova
Antifraud DataScience Team Lead - Nikolai Ponomarev
Real-time Antifraud Methods Team Lead - Ruslan Salimgareev
Analyst-Developer (Analytics and Research Service)
This track
is only available in Russian