An end-to-end data pipeline which extracts divvy bikeshare data from web loads it into data lake and datawarehouse transforms it using dbt and finally , a dashboard to visualize the data using looker studio, the pipeline is orchestrated using prefect

A Python utility to scrape and export your Divvy bike data to .csv

Scripts to combine various Chicago transit data feeds

Analysis of Chicago's rideshare biking service, Divvy, in Q3 of 2019.

Portfolio

Rmd file presentation on "Behaviors of DivvyTrips customers, and marketing strategy. (R programing) (data sourced from Coursera)

Cyclistic Capstone Study case for Google Data Analyst Certification used 2024 (Jan-Dec) Divvy public ride dataset.

Regression and Decision Tree Analysis of Divvy bike dataset to estimate bike demand based on weather conditions

A comprehensive analysis and insights derived from the Google Data Analytics Capstone Project focused on Cyclistic, a bike-share program.

Developed a relational database that will enable quick response and analysis on the current state of Divvy’s operations in regard to ridership, station locations, other factors affecting them. Then built a scoring model to optimize the number of stations and bikes allocated by zip codes

A case study on the fictional bike-share company Cyclistic's trip data, based on Chicago Divvy public dataset.

Data analysis performed on Divvy Bikes' database to convert more users of their bike rental service into subscribers.

This case will perform data analysis for a fictional bike-share company in order to help them attract more riders. To achieve this, I will perform the typical tasks of a junior data analyst and follow the steps of the data analysis process: Ask, Prepare, Process, Analyze, Share, and Act.

Analyzing how members and casual riders use Cyclistic bikes differently