Анализ клиентов Создание сегментов клиентов. Запуск регулярных и автоматических кампаний. Запуск кампаний по каналам коммункаций - push, SMS, pop-up, филиалы, обзвоны роботом, digital marketing Владение SQL, Power BI, Qlik Tableau

• Full-stack Power BI developer for Jmart.kz market place and for delivery - Jpost • Developing statistical reports on Power BI • Gathering and cleansing data (local DBs, Sharepoint, Google Analytics, websites, flat files) • Analyze and visualize data through statistical techniques Results: Developed a number of reports to speed-up decision making process

• Developing statistical reports on Power BI and Tableau • Gathering data from secondary and primary data sources • Analyze data through statistical techniques, visualize results, spotting trends, patterns and outliers

TOOLS: Power BI, Tableau, QlikView, SQL, Python, R, Excel • Pricing research - NPS correlation with 5558 fee, an early discount, customer size, type. • Vanity Metric's Analysis - amount injected into economy, businesses funded, jobs created, active clients for the 4+yrs in business • Calls analysis (Nextiva) – calls distribution, busiest days, need of additional staff. • Multiproduct project - does our initiative selling products in bundles work? • Shifting company's reports from Salesforce to Power BI • Prediction analysis using R library, based on time series. Results: Increasing efficiency of running Quality report, Production Planner Tracker from 14 hours to 30 min, and from 5 hours to 15 min, respectively.

• Application of Six Sigma in issuing/operating of loans, debit cards and loyalty program. • Root-cause analysis and FMEA. • Developing notification metrics to detect defects early Results: Defects in loan issuance and loyalty program were reduced by 10% and 20%.

• Application of Lean Six Sigma to Service Department processes • Analysis of sales, margin, seasonality, identification perspective dealers • SWOT, 5 Forces and Competition analysis, Price comparison. Results: optimization several service department employees by 20%.