Planning marketing roadmaps for PaaS-products and CDN;Generating and testing marketing hypotheses to improve registration/activation/payment conversions;Conducting collaborative research on customer behaviour with the product team;Analyzing customer consumption of products and services, identifying segments among customers and integrating tools to sell upsell products.Stack: Qlik, Jira, Confluence, Google Analytics, Yandex Metrics

Collection of data on catering establishments in St. Petersburg;Data analysis;Creating a recommendation system that offers users restaurants according to their preferences;Creating a test application to test the operation of the application;Collecting user ratings;Creating an HTML report for the presentation of the project resultsStack: R (NLP, parsing, preprocessing, A/B testing, network analysis, ML)

Detailed analysis of data on a wide range of films presented on the Netflix platform (text and network analysis);Hypotheses and statistical tests;Programming of the recommendation system based on the received data;Testing the resulting system by collecting feedback from real users;Writing an HTML report on the work done and protecting the projectStack: R (NLP, parsing, preprocessing, network analysis, A/B testing, ML), SQL

The project was focused on analysing student reviews from Coursera and identifying, through text analysis, the characteristics and objects of online courses from different disciplines that were valuable to students.– Scrape reviews from Coursera– Data cleaning and processing, including lemmatisation of texts– Keywords extraction, TF-IDF, LDA, STM– Presentation at the DTGS 2020 conference and publication of the paper in the journal

Creating and preparing tasks for students in MySQL and Tableau;Maintaining Confluence;Checking assignments and assisting students during classes.