Namma Yatri Data Analysis Across Cities This project involves analyzing operational and performance metrics for Namma Yatri, a ride-hailing platform. The dataset spans multiple cities and includes key metrics such as search-to-estimate rates, booking cancellation rates, driver earnings, conversion rates, and average trip distances.
The objective is to uncover trends, identify inefficiencies, and derive actionable insights to improve operational efficiency and user satisfaction. The project includes:
Data cleaning and preprocessing (handling duplicates, null values, and standardizing formats). Exploratory data analysis (EDA) using visualizations like heatmaps, bar plots, and boxplots. Insights into cancellation rates, driver earnings, and trip conversions across cities. Statistical summaries and outlier detection. Tools & Technologies: Python, Pandas, Seaborn, Matplotlib, and MySQL.