Developed statistical models with data visualizations to provide solution recommendations for the client. Performed data cleaning using Pandas and NumPy to ensure the correctness and completeness of the dataset and create effective visualizations to help the audience derive greater insights

Real-time data pipeline using Apache Kafka and Python to stream Citi Bike NYC station data. Demonstrates producing and consuming messages via Kafka, containerized with Docker. Built as part of a hands-on Kafka learning project.

Tableau viz visualizing Citi Bike usage trends in New York City amid COVID-19. The analysis is done from the perspective of user behaviors, customer breakdown, and change in bike stations popularities.

This repository contains Python scripts that download and analyze data from the Citibike bike-sharing system in New York City.

Pandas script that corresponds the start/end coordinates of Citibike rides with NYC neighborhoods

Exploring CitiBike usage patterns with graph algorithms.

BikeRouteOptimizer.com

This is an analysis on New York City's bike share system

Time series Analysis

NYC Citi Bike Analysis

A Tableau story containing visualizations and analysis for each discovered phenomena from the Citi Bike Trip History datasets. Deployed to Tableau Public.