Power BI dashboard analysing Uber bookings, revenue, trip patterns, and time-based trends using DAX, dynamic measures, drill-through, and time-based analysis on 100K+ Uber trip records.
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Updated
Dec 27, 2025
Power BI dashboard analysing Uber bookings, revenue, trip patterns, and time-based trends using DAX, dynamic measures, drill-through, and time-based analysis on 100K+ Uber trip records.
Interactive Uber Trip Analytics dashboard built with Power BI to analyze bookings, revenue, trip distance, time patterns, vehicle performance, and location-based demand.
Advanced Uber trip analysis using Python (Random Forest Regressor) and Power BI dashboard for demand forecasting.
Data analysis on Uber ride data using Python and visualization libraries.
An end-to-end Data Science project analyzing Uber ride patterns, peak demand hours, trip durations, and machine learning forecasting using Python, Pandas, and Scikit-Learn.
👥🚖Data Analysis on Uber Data
Performed data analytics on Uber data using various tools and technologies, including GCP Storage, Python, Compute Instance, Mage Data Pipeline Tool, BigQuery, and Looker Studio.
This repository contains Uber Data Analysis using various Machine learning Algorithms
Uber Ride Data Analysis using Python – Exploratory Data Analysis, Visualizations, and Machine Learning-based ride demand insights.
Power BI project analyzing Uber trip data to uncover booking trends, revenue patterns, and trip efficiency using dynamic dashboards, DAX, data model, drill-through, and bookmarks.
In this Project i will do analysis on Uber data, will use some library which are mentioned below
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