Построение культуры АБ экспериментов, отладка процессов генерации продуктовых гипотез, кросс-командного взаимодействия. Разработка иерархии продуктовых метрик, арифметического дерева метрик, обоснование выбора бизнес цели / OEC. Автоматизация и унификация процесса обработки результатов АБ тестов, менторинг коллег по теории статистики. Продуктовые исследования, поиск аномалий, построение репортов в табло и метабазе. Активное участие в брейнштормах с бизнесом для генерации стратегических векторов развития продукта

Проведение семинаров по инструментам BI (Tableau/Metabase). Участие в качестве приглашенного эксперта по Tableau.

Executed development of analytical infrastructure (data marts and Airflow dags) for iGaming product also employing Snowflake Tasks for automating key VIP, Retention and CC departments monitoring processes and regular tasks using DataLore. Implemented operational dashboards using Tableau, effectively visualizing key metrics and trends for stakeholders in VIP, Retention and CC departments. Engineered a suite of Telegram and SLACK bots for business communication, enhancing team productivity by automating repetitive tasks. Implemented comprehensive A/B testing strategies using SQL and Python to process results and find product insights, resulting in a 10% increase in DAU/MAU. Investigation of incidents and drop-offs in user metrics, data collection for quarterly reports on product GGR/NGR.

Worked with the founder to create a data-driven approach to product solutions. We identified the target audience and optimized advertising traffic, creating a platform for making team decisions. Development of user retention tools for VIP/casual segments. Achievements: - Established decision-making framework by developing product metrics (LTV, CAC, DAU/MAU, engagement, retention, ARPU). - Deployed Metabase dashboards over raw DB to facilitate team decision-making processes, ensuring transparency of vital product metrics. - Reviewed ads traffic CR and recommended optimizations, resulting in a substantial 12% boost in ROI.

Worked with Python geolibraries (geopandas, folium, shapely) to develop a methodology for creating a recommendation system for construction busyness. Achievements: - Conducted geo-analysis for segmentation of parcels to determine value category. - Developed a system for differentiating complex land plots with a rating system and scoring.

Constantly worked with Moodle based on Postgres, used Python to analyze and visualize statistical data. Was engaged in optimization of the educational process on several tracks and performed monitoring of learning progress. Conducted AB tests and collected reports. Supervised practice-oriented graduation projects in Python and MapInfo/QGIS. Achievements: - Developed and conducted A/B tests of LMS features in an educational product, achieving acceleration of the learning process by ~15%. - Performed user behavior assessments, segmented customers and achieved a 10% increase in customer retention throughout the year.

Аналитика, Аналитик данных

Геоинформатика

Fachbereich Landschaftswissenschaften und Geomatik, Geodesy and Geoinformatics

Udemy, Docker

Udemy, DBT

Яндекс Практикум, Дата Аналитик

Hochsule Neubrandenburg University of Applied Sciences, Французский язык

Hochsule Neubrandenburg University of Applied Sciences, Немецкий язык

Cambridge English Language Assessment, Английский язык