Data Analytics project using Tableau to analyze Amazon product pricing patterns, discount trends, and customer rating distribution. Built interactive dashboards with KPIs, filters, and visual insights for business decision-making.

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.

Excel-based analytics case study analyzing restaurant and locality-level engagement, demand patterns, pricing impact, and underperforming zones to derive actionable business insights.

An analysis of New York City Airbnb data using geospatial and statistical methods, incorporating cost-effectiveness and data-driven techniques to deliver customized choices

EDA in R on Steam game data to analyze price distribution and its relationship with user reviews.

Real-world business case studies using data to support decision-making across sales, marketing, operations, and strategy.

Comprehensive ASUS tech products analysis: market dynamics, product performance & pricing sentiment with Power BI dashboards and 50+ SQL queries

Statistical analysis of computer pricing dynamics using Python, Pandas, and advanced analytics. Identifying key price drivers for business optimization.

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.

A hands-on analysis of Amazon marketplace data to understand pricing patterns and discount trends.

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

This project performs an end-to-end Exploratory Data Analysis (EDA) on an Amazon products dataset to uncover insights related to pricing, discounts, customer ratings, and review behavior. The analysis focuses on understanding rating reliability, discount strategies, and customer trust using real-world data and visual storytelling.

Dashboard exploring Seattle 2016 Airbnb pricing: price by bedroom, ZIP-level variation, and monthly revenue trends.

“Analyzed hotel pricing data to find which discounts increase bookings and built models to optimize discount strategy.”