• Managing the analytics department to deliver data-driven insights and solutions to the business;• Team management and mentoring - setting tasks, monitoring execution, hiring new employees and supervising their adaptation;• Operational management - constant cycle of communication with managers, developers and analysts;• Leading the development and implementation of data analytics projects, including creating dashboards and reports for stakeholders;• Working on the company’s metrics tree;• Managing the data analytics roadmap and prioritizing projects based on business value and impact;• Working with senior management to communicate insights and recommendations based on data analysis to drive business strategy and decision-making;• Collaborating with cross-functional teams to integrate data analytics solutions into business processes and decision-making;• Testing various hypotheses, making researches, experiments;

Working in DMP (Data Management Platform) in marketing, where the main goal of the company was to store, prepare and manage a huge amount of data collected from various sources. Further, these data were used to train various ML models.• Python Development and technical support of different models• Look-Alike user modeling• Building a continuous ETL process to prepare a large amount of data• Project's code obfuscation and its complete transfer to the client• Parsing, preprocessing and cleaning data• Creating visualization for the formation of reports and presentations• Operational and team managementStack of technologies: Python, PySpark, Hadoop, Hive, Airflow, Superset, Grafana, Bash, SQL, Docker, GitLab, TensorFlow, Keras, scikit-learn, pandas, numpy