• Team and process management in Analytics department• Data-analytics, UX-analytics and Data-engeneer teams managements (15 data and UX-analysts, 9 product teams, 2 DWH-engeneers)• Development of strategy and roadmaps for the Analytics Department• Working with C-level• Building an analytics team. Interviewing new data analysts and data scientists.• Internal training and mentoring of teammates• Implementation and support of data-driven culture in the company• Working… Show more • Team and process management in Analytics department• Data-analytics, UX-analytics and Data-engeneer teams managements (15 data and UX-analysts, 9 product teams, 2 DWH-engeneers)• Development of strategy and roadmaps for the Analytics Department• Working with C-level• Building an analytics team. Interviewing new data analysts and data scientists.• Internal training and mentoring of teammates• Implementation and support of data-driven culture in the company• Working with C-level management Show less

• Team and process management in analytics team (12 data analysts, 9 product teams)• Building an analytics team. Interviewing new data analysts and data scientists.• Internal training and mentoring of teammates• Implementation and support of data-driven culture in the company• UX Analytics, users segmentation and clustering, User profiling • Funnels, CJM and JTBD analysis• Quantitative and qualitative user researches. UX-researches.• AB testing (general… Show more • Team and process management in analytics team (12 data analysts, 9 product teams)• Building an analytics team. Interviewing new data analysts and data scientists.• Internal training and mentoring of teammates• Implementation and support of data-driven culture in the company• UX Analytics, users segmentation and clustering, User profiling • Funnels, CJM and JTBD analysis• Quantitative and qualitative user researches. UX-researches.• AB testing (general statistical criteria and advanced technics)• Correlation analysis• Causal impact and regression analysis for detecting effect without split tests• Pricing optimization and surge models (regression, elasticity and time series models)• Uplift models for promo activities (classification algorithms)• Predictive analytics (Prediction of purchase, ARPPU with regression models, ARIMA, boosting models, classification models, classification of new customers, churn prediction)• Time series analysis (regression, ARIMA, bsts, LSTM, prophet, etc.)• Outlier detection• Retention analytics, cohort analysis• AHA-moment searching• Participation in the DWH construction• Working with various data sources (MySQL, MongoDB and Elastic Search, Google Analytics, Yandex Metrica, Google Big Query)• BI, Building dashboards and effective visualization for all target metrics of projects. Power BI, DAX, Setting up power BI gateway and Power BI online services, Google Data Studio Show less

• UX Analytics• AB testing (general statistical criteria and advanced technics)• Correlation analysis• Pricing optimization and surge models (regression, elasticity and time series models)• Predictive analytics (Prediction of purchase, ARPPU with regression models, ARIMA, boosting models, classification models, classification of new customers, churn prediction)• Time series analysis (regression, ARIMA, bsts, LSTM, prophet, etc.)• Outlier detection• Retention… Show more • UX Analytics• AB testing (general statistical criteria and advanced technics)• Correlation analysis• Pricing optimization and surge models (regression, elasticity and time series models)• Predictive analytics (Prediction of purchase, ARPPU with regression models, ARIMA, boosting models, classification models, classification of new customers, churn prediction)• Time series analysis (regression, ARIMA, bsts, LSTM, prophet, etc.)• Outlier detection• Retention analytics, cohort analysis• Participation in the DWH construction• Working with various data sources (MySQL, MongoDB and Elastic Search, Google Analytics, Yandex Metrica, Google Big Query)• BI, Building dashboards and effective visualization for all target metrics of projects. Power BI, DAX, Setting up power BI gateway and Power BI online services, Google Data Studio Show less

Рreparing and conducting a module on "Advanced Experiments" in "Hard Data Analytics" specialisation in Karpov.Courses online school. https://karpov.courses/analytics-hardThe course included over 15 lessons on advanced topics in conducting experiments, with a strong emphasis on practical application and coding work. Additionally, a module with an additional focus on the business aspects of conducting experiments within a company was developed.- Curriculum Development. Create a… Show more Рreparing and conducting a module on "Advanced Experiments" in "Hard Data Analytics" specialisation in Karpov.Courses online school. https://karpov.courses/analytics-hardThe course included over 15 lessons on advanced topics in conducting experiments, with a strong emphasis on practical application and coding work. Additionally, a module with an additional focus on the business aspects of conducting experiments within a company was developed.- Curriculum Development. Create a structured course outline with clear objectives and learning outcomes.- Coordination with Curriculum Specialists. Align course content with educational standards and audience needs.- Content Creation. Prepare engaging lecture materials and practical exercises. Video-production.- Homework Assignment Preparation. Design diverse homework assignments with clear instructions.- Webinar Delivery and Q&A. Conduct live webinars and Q&A sessions for real-time interaction.- Course Enhancement. Continuously update and adapt the course based on feedback and advancements in the field.- Develop a fair grading system and provide timely feedback. Show less

- Conducting and analyzing customer researchers- Create dashboards and ad-hoc report for companies- Ad-hoc predictive analytics

- Data Mining- Development of BI service- KPI and feature engeneering- Prepare data models and ETL documentation- Ad-hoc researches and data extractions SQL