1) Introduction of modern analytical (BI) and Data Science tools to the environment of analysts and business users;2) Solution using ML models and mathematical statistics for business and it departments (R, Python);3) Creating a tool for detecting and explaining data anomalies and integrating it into Analytics work environments (MS Power BI, KNIME);4) creation of entities of the described processes using ML-models, their implementation in industrial HD systems, setting tasks for the implementation of storefronts in prom to DE teams;5) implementation of turnkey analytical and ML projects in the field of data monetization;6) Expansion of the company's DS & Analytics community.Achievements: created and implemented an ML system for detection anomalies in data; implemented several ML projects in the field of data monetization and process management through the creation of new KPI's.

- Introduction of modern analytical (BI) and Data Science tools into the environment of analysts and business users.- Solution using ML models and mathematical statistics of business and it Department cases (R, Python).- Creation of a tool for detecting and explaining anomalies in data, its integration into working environments of analysts (MS Power BI, KNIME).- Expansion of the company's DS & Analytics community.- Achievements: a universal ML-system for automatic search of anomalies in data (time series) was created and implemented in working processes.- BI-reporting development,- Search for actionable insights in customer analytics,- Performance management and Operational excellence.Areas: - Corporate banking and investment businesses;- Private banking;- Solutions of the analytical cases for the government and business structures.

- leading of business analysis (reporting, business analysis, planning, investment analysis);- development of strategy corporate reporting system, its implementation, development of reporting;- providing broadcast data from the information systems of the company in DWH, ETL, Data quality, creation of system of normative-reference information, deployment BI reporting;- management of projects related to reporting and Analytics, information support of processes and projects of the operational unit;- introduction of new system of motivation of employees of the retail network, quality of service and efficiency of logistics network based on Big Data technologies.

Development Federal reporting:- the choice of vendor BI platform, market analysis BI tools;- development of a system of KPI's, reference books, technical specifications for reporting, requirements for DWH, SLA reports; architecture portal reporting;- reconciliation of the data with the standard;- unification of business processes and the development of appropriate regulations;- implementation of product catalog by model SID;- interaction with functions-customers and performers on the draft Federal reporting and branches of the company;- development of datamarts (OLAP cubes, universes), reports in the selected BI tools;- translation the main mass of the reporting from the field ad hoc requests in the area of periodic reports;- translation of BI-reporting with local data stores on Federal DWH;- define the vector of development of company reporting;- deployment of the full system of routine reporting, and visualized reporting for top management;- creation of unit intelligence Data mining, Big data;- user training of BI reporting.Operation of Federal reporting:administration of the reporting system;- quality assurance and control of data quality;- development and operation of the system for processing user requests at the Federal level;- maintaining a reporting system for actual and working condition.Leading, initiating special projects for business analysis and reporting.Consulting the concerned departments on reporting, budgeting, forecasting.

- Leadership team;- Maintenance of the unit analytical reporting, analysis of marketing initiatives, calculation of new business models;- Maintenance of the unit statistical reports, create OLAP- reporting;- Operational analysis of KPI's;- Maintenance of the unit of planning and forecasting, budgeting.