- The problem-solving data analysis;- Use feature engineering techniques- Interpretation of analysis results, modeling to unprepared counterparty;- Preparation of requirements for data engineers to refine data sources;- Analysis of data in target sources for industrial implementation of the model or analytical solution;- Interpretation of data analysis results;- Preparation of a prototype for testing, piloting, and implementation, when necessary;- Building data showcases from raw data;- Implementation of DevOps - and agile practices (CI/CD, Scrum, Kanban), team recruitment;- Automation of assembly and delivery (webhooks, Jenkins, Maven, OpenShift 4);- Work with containers applications (OpenShift);- Implementation of Code Security Audit (SAST Checkmarx);- Implementation of code analysis tools (Sonarqube);- Setting security of inter-service interactions (certificates);- Working with repositories (Git, Bitbucket) and bug tracking/project management systems (JIRA).Achievements:- Leading a team of 3 data engineers;- Development of web services for automatic acceptance of payments for banking support of contracts and their deployment to OpenShift;- Together with the contract banking support team, annotation and marking up data for building machine learning models;- Building data marts and testing hypotheses for the forecasting receivables, which serve as a basis to build machine learning models;- Together with the intelligent document recognition command, implementation of the ID recognition model in the process of opening a settlement account;- Leading a project to extract named entities from the documents on enforcement proceedings (run project in Jira, refactored the code, established DevOps, controlled deadlines, developed main parts of service, interacted with the customers, developers, and testers);- Interviewing new candidates.

- Evaluation of the potential for automation of business processes;- Consulting business customers during the formation of tasks for automation;- Development of process automation algorithms in the visual programming environment following the task;- Development of standard algorithms for subsequent replication and reuse;- Testing and introduction into the industrial operation of process automation algorithms.- In a team with other developers, we automated the process of opening accounts by legal entities, which reduced the opening time 16 times, and the number of errors when opening accounts decreased;- Proposed and developed an RPA algorithm for issuing corporate credit business cards to clients when opening a current account; the number of issued business cards has significantly increased;- Automated the process of preparing documents for the presidential grants fund; the process became fully automatic, and the employees who were involved in this process were transferred to other procedures;- Introduced the use of code review in the team;- Proposed and developed an RPA algorithm for issuing instant business cards to clients; the process for client managers has been dramatically simplified, and the number of issued business cards has increased by7%;- Developed an algorithm for receiving and using data through the API Spark Interfax;- Made an integration between Abbyy Flexicapture and BluePrism;- Automated the process of making changes to the client's legal affairs, which simplified the process for employees;- Wrote a library of universal functions that all developers use (phone check, connections to various systems and databases via API, JSON parsing, XML parsing)

In a team with other developers, we reimagined the user interface of the main company application. We implemented:- Semi Global Matching algorithm using OpenCV;- algorithms for working with DEMs;- algorithms for working with vector objects.