Healthcare Analytics

Description: This project analyzes patient data, including visit dates, departments, length of stay, and treatment costs. It includes department-wise analysis of average stay duration and total expenses, with visualizations and a clinical performance report. Perfect for healthcare facilities tracking patient metrics and department efficiency.

Retail Market Basket

Description: Focuses on analyzing shopping patterns and customer behavior through transaction data. It performs customer segmentation based on basket size and spending, creates heat maps of product category relationships, and helps identify shopping patterns. Ideal for retail businesses looking to understand customer purchasing behavior.

Financial Time Series

Description: A comprehensive financial analysis project that handles stock performance data. It implements time series analysis using ARIMA models, calculates technical indicators like moving averages and RSI, and creates forecasting models. Essential for financial analysts and stock market analysis.

HR Analytics

Description: This project creates an HR analytics dashboard analyzing employee performance, satisfaction, and salary data. It includes correlation analysis between various metrics, department-wise performance analysis, and visualization of performance trends over years of service. Valuable for HR departments tracking employee performance and satisfaction.

Each project demonstrates different aspects of SAS programming:

·      Advanced statistical procedures (PROC ARIMA, PROC CORR)

·      Various visualization techniques (SGPLOT, SGPANEL)

·      Data manipulation and analysis

·      Report generation (PROC REPORT)

·      Time series analysis

·      Statistical computations