Aleksei Kozionov

- Created 5 new digital services out of 50 validated ideas by establishing a new digital services sourcing and creation process - Reduced by $3mln expenses for services creation through rigorous hypothesis-driven business model validation practices

- Delivered 25 analytics solutions for clients - Acquired top 1 client – Sberbank (top-20 world), delivered 5 strategically important projects - Reduced 4x credit process time and models’ errors by 30% for the Sberbank CIB (top-20 wold) through intelligent automatization of 12K+ ML cash-flow models (AutoML concept) - Identified up to a 20% ($4bln) increase in revenue by algorithmic optimization of trading conditions for the long-term export strategy of the Russian Ministry of Agriculture

- 15 projects delivered, authored 9 to secure the IP of specific solutions - Implemented a system that predicts dams’ failures 3 months prior (99,9% TPR). It is operated in Germany and the Netherlands - Reduced cost up to $15mln/y for the St. Petersburg Water Utility (largest in Europe) implemented system algorithms for optimal sensors placement, water balance monitoring; leakage detection (95% TPR); pumps faults prediction (99.5% TPR). The top recognized Siemens project in Russia in 2014

Top product management program worldwide

- The first scalable solution enabled by machine learning algorithms for earthen dams monitoring - Research results are used in practice by Siemens system for the prediction earthen dams failures - Algorithms showed the best performance in EU competition among 5 competitors - Authored 4 patents

- Diploma with honors, GPA: Top 1% - Research results became the core part of Siemens research program UrbanFlood (Horizon2020, EU)

- Diploma with honors, GPA: Top 5%. - Best research work (out of 120 candidates) on faculty on new efficient methods (vs. Kalman) for digitals signals filtering