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BookAnalysis: A Python project that leverages web scraping, data cleaning, and machine learning techniques to gain insights from diverse book-related data. This project also includes seamless integration with Microsoft SQL Server for in-depth data analysis, followed by connection to Power BI for impactful data visualization.
Akamai, a desktop voice assistant supported for Windows 7, fills the void left by Cortana's absence on this OS version, offering seamless voice-controlled automation for enhanced accessibility and productivity, ffers a seamless user experience with background operation, familiar interface, and voice commands, performs day to day tasks effortlessly
This repository contains a comprehensive analysis of customer churn in the telecom industry and machine learning models that I used to gain insights into customer behavior and churn patterns. In addition, it contains a notebook to set up a connection to a remote Microsoft SQL Server.
Dive into COVID-19 insights using Microsoft SQL Server and Tableau! Uncover regional disparities, predict trends, and make informed decisions with interactive visualizations.
The Project-FullStack-Employee-System-CRUD is an integrated application for efficient employee data management. It merges a Java backend API with a ReactJS frontend, ensuring a smooth user experience.
Dockerized C# program that connects to Microsoft SQL Server using .NET Entity Framework CORE to manipulate movie data and display them in a ReactJS GUI with pagination, sorting, and CRUD operations.
I have successfully created a comprehensive database using online datasets sourced from Kaggle, specifically focusing on COVID-19 deaths. I designed and executed a series of well-crafted queries to extract valuable insights and meaningful information from the dataset.