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Project Description This project focuses on performing Exploratory Data Analysis (EDA) on a dataset of Uber ride requests to identify trends, patterns, and operational bottlenecks. The analysis was carried out using SQL for querying, Excel for dashboard visualizations, and Python with pandas for data manipulation and feature engineering.
This project focuses on analyzing marketing campaign performance to provide actionable insights to guide strategic investment decisions. By examining customer engagement, conversion rates, and time on site, the project aims to identify the most effective campaign-channel combinations and inform marketing strategy for the next quarter.