Svitlana Kovalivska, PhD

Computer vision model classifies CIFAR-10 images using transfer learning with a pretrained ResNet50 model.

Behavior-based customer segmentation using RFM analysis and K-Means clustering for travel industry insights.

Machine learning model that predicts automotive prices based on key features and specifications.

Time series forecasting for retail demand using statistical and machine learning approaches.

Comprehensive sales analysis with SQL queries and Tableau visualizations for Unicorn company.

Interactive Streamlit application for time series forecasting with customizable models.

Behavior-based customer grouping using purchase patterns analysis for personalized marketing strategies in travel industry.

NLP model for real-time crisis detection by classifying disaster-related tweets.