I used Python to analyze NYC Citi Bike trends – Looking for a chance to apply these skills in a volunteer or internship role!
Hi r/nairobitechies
I just finished my first end-to-end data analysis project using the NYC Citi Bike dataset, and I wanted to share my findings and ask for some career advice.
The Project: I wanted to see how different age groups and user types (Subscribers vs. Customers) behave. I used Python, Pandas, and Seaborn to clean the data and build my visualizations.
What I found:
- The Core User: The 35-44 age bracket is the heavy hitter for Citi Bike.
- The Weekend Shift: Subscribers (annual members) own the weekdays for commuting, but one-time Customers take over on the weekends.
- The 75+ Anomaly: Interestingly, while they ride less frequently, users aged 75+ have a massive spike in average trip duration (averaging ~49 minutes per ride).
GitHub Link: https://github.com/JacksonOtieno/NYC-Citi-Bike-Data-Analysis
I’ve just finished my university semester and I’m looking to take my skills to the next level. I’m currently searching for a data analysis volunteer position or an internship where I can help a team clean data or perform EDA.
If anyone has leads on organizations looking for a motivated junior analyst, or if you have any feedback on my code/visualizations, I’d love to hear it!
Thanks for looking!