Payal Priyadarshini's Projects
Airline Revenue Optimization This project maximizes airline revenue through optimization techniques, analyzing factors like pricing, demand forecasting, seat inventory control, and overbooking. Using machine learning and data analysis, it provides insights and strategies for better revenue management.
Customer churn prediction uses data analysis to identify customers likely to leave, allowing businesses to implement retention strategies and improve satisfaction.
The Exploratory Data Analysis (EDA) of the Zomato Dataset project aims to uncover insights from Zomato's restaurant data through thorough data analysis and visualization techniques.
The Retail Analysis Project provides insights into sales trends, customer behavior, and inventory management using Python and data visualization tools