resume.pdf

NYC Yellow-Cab Analysis

Turning millions of New York City taxi trips into interactive dashboards that surface travel patterns and demand.

Data Analytics Power BI & Tableau Python
View on GitHub

About

An end-to-end analytics project on the New York City yellow-cab trip dataset. Using Power BI and Tableau, it explores how the city moves — the busiest days and hours (demand peaks between 3 and 6 PM), how riders pay (roughly three-quarters by credit card), and the top pickup and drop-off neighbourhoods, which cluster around landmarks like the Museum District, Empire State Building, Central Park and Broadway.

Additional views break passenger counts down by borough — Brooklyn, Manhattan and Queens dominate — and track how average fares and trip volume trend across the year, turning raw trip records into clear, interactive insight.

Dashboards

Power BI dashboard
Power BI — trips by day and hour, payment breakdown, and top pickup/drop-off locations.
Passenger count by borough
Tableau — passenger count by pickup borough.
Fare trend over time
Tableau — fare and trip-count trend across the year.

Built with

Tableau

Interactive charts for boroughs and fare trends.

Power BI

The main dashboard with slicers and KPIs.

Python

Cleaning and preparing the raw trip data.

cd ../projects