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This project is a specialized Library Management System (LMS) built using MYSQL as the backend database. The database schema is designed to ensure data integrity and consistency, with tables storing information about users, books, transactions, staff.
Documentation (Project overview statement, budget plans, marketing plan, presentations...) and project prototype of a large and complex project eSchool Serbia. This project is part of the Horizon 2020 program according to the call for the development of innovation projects.
Machine learning project using the Boston Housing dataset to predict median home values. Includes EDA, feature engineering, and linear regression modeling to uncover key drivers of price variation and provide data‑driven insights.
This project analyzes customer shopping behavior using transactional data from 3,900 purchases across various product categories. The goal is to uncover insights into spending patterns, customer segments, product preferences, and subscription behavior to guide strategic business decisions.