In this our project we aimed to gather and analyze detailed information on apps in the Google Play Store in order to provide insights on app features and the current state of the Android app market.

Generate valuable insights from customer and transactions data.

This project automates exploratory data analysis (EDA) with DataPulse, enabling users to upload, clean, and visualize datasets effortlessly. It integrates machine learning models like Logistic Regression and XGBoost for insightful analysis via an intuitive Streamlit interface.

Анализ эффективности рекламных кампаний и проверка корректности атрибуции пользователей. Проект включает работу с маркетинговыми данными: установки пользователей, рекламные расходы, доходы и каналы привлечения.

Matelda, an interactive system for multi-table error detection that combines automated error detection with human-in-the-loop refinement.