Every click on a product represents a potential sale, but not all clicks convert into purchases. The aim of this project is to leverage machine learning techniques to forecast whether a click will result in a successful purchase.
Led a project to assist researchers in managing daily publications through clustering COVID-19 articles for streamlined analysis. Utilized unsupervised ML for clustering, visualizing with t-SNE, employing LDA for topic modeling.
Analyzed Expedia Hotel booking data (2005-2017) with XGBoost, CatBoost, SVM, and Neural Networks to generate actionable insights and predictions benefiting customers and the hotel sector.