implementing an end-to-end tweets ETL/Analysis pipeline.

This project aims to predict customer booking behaviors by classifying them into three categories: Booked and Canceled Booked and Checked Out Booked and Did Not Show

A Python package for validating SQL Server Integration Services (SSIS) packages

Data integration support application same SSIS

"Decision Support System - Module II: Laboratory of Data Science" Class' Team Project - MSc in Data Science and Business Informatics @ University of Pisa

This project is using to build a data pipeline for allocating resources and scheduling based on route, traffic, transport type information.

My course work for subject "Fundamentals of automated information systems". It contains a realization of a DB for an insurance company. Done with T-SQL, using MS SQL Server, SSIS, SSRS. 3rd year, National Research Nuclear University MEPhI

This repository showcases my university "Laboratory of Data Science" project. It encompasses the implementation of a data warehouse, ETL process, Data Cube, MDX queries, and an interactive dashboard.

SSIS Dashboard

💥 Empower Your Twitter Strategy with Sentiment Classification!

This project aims to predict customer booking behaviors by classifying them into three categories: Booked, Canceled booking, Checked out, and Did not show up.