Daniil Zorin

Mobile game analytics: - Worked on projects Merge Inn and Mergedom. - Built a strong team of product analysts, marketing analysts and data engineers. - Created a pLTV model. - Created a model for game balance simulation. - Automated A/B test analysis. - Developed a strategic vision for analytics department.

Mobile game analytics ⁃ Worked on Once Upon a Match. - Analysed products metrics and users behaviour. - Developed and maintained KPI dashboards and notifications. - Overhauled existed Data Schema for tracking users behaviour. - Migrated from DDNA to Firebase.

Mobile app analytics - Analyzed products metrics and users behaviour, conducted A/B tests and developed recommendations. - Developed and maintained KPI dashboards and notifications. - Built effective communication with producers, developers and UA department. - Designed custom analytics events for tracking users behaviour. - Developed internal analytics tools and automated regular tasks. - Mentored Data Analysts. - Developed overall product analytics vision.

Mobile app analytics - Worked on Sudoku.com, Blockudoku and Jigsaw Puzzles. - Analyzed products metrics and users behaviour, conducted A/B tests and developed recommendations for the product team. - Tested out-of-the-box ML products (BTYD, FireBase Predictions etc.) and developed custom predictive and segmentation models for optimising user acquisition. - Developed and maintained dashboards for daily KPIs monitoring. - Provided ad-hoc analysis, identified the causes of problems.

Mobile app analytics - A/B testing: from the planning stage to the analysis of results. - User segmentation for various purposes: sales offers, competitive events, groups divided by behavior for further analysis. - Working with big amount of raw data, drawing conclusions, developing recommendations, producing reports, driving business decisions. - KPIs monitoring, detecting trends and patterns. - Ad-hoc analytics, identifying the causes of problems.

Outsourcing: web-development, data science

Population dynamics modeling in silico - Modelling immune response dynamics in T-cell ensembles with parallel programming technologies: CUDA, MPI, OpenMP. - Modelling of immunoproteasome role in immune response. - Nonparametric approaches to estimation of T-cell clonotype size distribution.