Darya Shelestovich Email and Phone Number

• Extracting and processing data using SQL queries to perform in-depth data analysis, identify patterns, trends, insights and monitoring in dynamics.• Developing and maintenance KPIs, dashboards and reports to track and measure the performance of CVM initiatives, providing regular updates to stakeholders.• Ad hoc analysis upon requests through marketing, financial and behaviour data in various slices, statistical significance estimation.• Close working with Data Science team to perform statistical, data mining and machine learning analysis on complex CVM tasks. Contributing to building forecasting models to predict the propensity of subscribers to use various products and services, ARPU growth, churn rates and other key metrics.• Participation in the process of creating special offers for subscribers (from generating ideas and assumptions to evaluating the results).• Automating reports (Redash, IBM SPSS Modeler) and maintenance of data models, databases, and data integration processes to ensure efficient and accurate data retrieval.

• Supporting the strategy establishment of the company by evaluating trends and patterns, forecasting, planning of basic marketing metrics and budget indicators, analyzing organization operations and identifying opportunities for improvement. Consolidating and analyzing various types of data, taking into account company's goals and financial standing. • Analyzing historical operations data and market information to predict future outcomes, working at times with large and disparate data sets.• Marketing activities post-analysis and competitive analysis, ad hoc analysis and data requests.• Developing and maintenance analytical reports, dashboards and providing regular updates to stakeholders including top management that provide key business insights.• Collaborating with cross-functional teams, including sales, marketing, financial and technical departments.

• Supporting the development of data-driven CRM strategies, including customer segmentation, targeting, and forecasting.• Contributing to building predictive models using machine learning and data mining to predict and forecast subscribers behavior (a model of a subscriber's propensity to churn, models for determining the probability of connecting a service, cross/up-sell models).• Planning and launching targeted marketing campaigns (CRM-campaigns).• Assembling and summarizing data to develop and structure sophisticated reports.• Maintanance of reporting to track and measure the performance of CVM initiatives, providing regular updates to stakeholders.• Developing of the MTS-Bonus loyalty program (co-branding programs, expansion of the bonus catalogue)

• Subscriptions analytics and reporting.• Planning and launching targeted marketing campaigns (CRM-campaigns).• Metrics calculation.• Creating and maintanance documentation related to data sources, projects and methodologies to support CRM campaigns processes.

• Creating and maintenance daily, monthly and annual subscribers activity reports and visualizing.• Ad hoc analysis through marketing financial and behaviour data, significance estimation.• Analytical notes upon requests (intern and extern data analysis, interpretation and visualization).• Price increase calculation.

• Building, customizing and maintenance dynamic analytical reports and presentations with main KPIs and providing regular updates to stakeholders.• Short-term planning and forecasting. Developing of business plans for key accounts.• Ad hoc analysis upon requests, competitive analysis (Nielsen).• KPI estimation.