Industry-Specific-Data-Analytics

Overview

This repository contains a collection of SQL projects focused on solving real-world industry problems across various domains. Each project involves data extraction, transformation, and analysis using SQL queries, along with statistical methods and hypothesis testing to derive meaningful insights. Additionally, Power BI is used for data visualization, presenting key performance indicators (KPIs) and business intelligence reports effectively.

Key Features

• Industry-Specific SQL Queries – Solutions for finance, HR, healthcare, retail, and more.
• Data Cleaning & Transformation – Preprocessing raw datasets using SQL techniques.
• Exploratory Data Analysis (EDA) – Identifying trends, patterns, and outliers.
• Statistical Methods & Hypothesis Testing – Applying analytical techniques for data-driven decision-making.
• Performance Optimization – Query tuning and indexing strategies for efficient data retrieval.
• KPI Dashboards & Reports – Visualizing key metrics with Power BI to provide actionable insights.

Project Domains

• Banking & Finance – Risk assessment, loan default analysis, financial fraud detection.
• Human Resources – Recruitment trends, hiring efficiency, workforce analytics.
• Retail & E-commerce – Sales forecasting, customer segmentation, inventory management.
• Healthcare – Patient analytics, hospital resource optimization, medical claim analysis.
• Supply Chain & Logistics – Delivery tracking, demand forecasting, operational efficiency.

Tools & Technologies Used

• SQL Databases – MS SQL Server, MySQL, PostgreSQL, SQLite
• Cloud Databases – Google Cloud SQL, Azure SQL
• Statistical Methods – Mean, Median, Standard Deviation, Correlation Analysis
• Data Visualization – Power BI, Tableau
• ETL & Data Processing – Excel, CSV, SQL Stored Procedures

How to Use This Repository?

1. Clone the repository:

   git clone https://github.com/yourusername/Industry-Specific-Data-Analytics.git