Real-world business case studies using data to support decision-making across sales, marketing, operations, and strategy.
-
Updated
Jan 12, 2026 - Jupyter Notebook
Real-world business case studies using data to support decision-making across sales, marketing, operations, and strategy.
“Analyzed hotel pricing data to find which discounts increase bookings and built models to optimize discount strategy.”
Analyze product pricing trends across categories and brands using SQL and Python. Explore pricing distributions, top products, and market insights with visualizations in Jupyter Notebook.
Dashboard exploring Seattle 2016 Airbnb pricing: price by bedroom, ZIP-level variation, and monthly revenue trends.
A data-driven analysis of the Used Cars Market focusing on pricing trends, customer preferences, and market insights. This project explores factors influencing used car prices and demand using data analysis and exploratory techniques.
An analysis of New York City Airbnb data using geospatial and statistical methods, incorporating cost-effectiveness and data-driven techniques to deliver customized choices
Statistical analysis of computer pricing dynamics using Python, Pandas, and advanced analytics. Identifying key price drivers for business optimization.
Rbauction auction market intelligence
This project presents analytical view of Indian domestic airline flights, covering pricing trends, booking behavior, class distribution, city-wise connections, and timing analysis. The dashboard is built using Microsoft Power BI, leveraging interactive visuals to help understand customer patterns, flight pricing strategies, and operational insights
Add a description, image, and links to the pricing-analysis topic page so that developers can more easily learn about it.
To associate your repository with the pricing-analysis topic, visit your repo's landing page and select "manage topics."