- Rewrote the **Jenkins (Groovy)** [nightly pipeline](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88) to run in a GitHub
PR using a trigger keyword to test all the team's submitted PR's
before merging to the main branch.
- Took on tasks and contributed ideas in **Agile sprint** planning meetings in a team of 12 people.
- Took initiative to write [file](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88#diff-7d2c018dafbccec859077d19bf1ade53ec9c7649f235528ce89f5632b109f7e6)
to define the GitHub parameters for the above pipeline so that it
- Implemented base functionality of scanning tracks and listening
history from user's library using Spotify API and organized data
into **PostgreSQL** database with **Django** backend.
- Web app to visualize user's library and listening
history from Spotify.
- [Fetched and organized](https://github.com/Kevin-Mok/spotify-lib-vis/blob/master/api/utils.py) user data from Spotify API into PostgreSQL database with **Django (Python)** backend.
- Created and tested various relational database schemas to maximize
efficiency for use cases.
- Produced bubble chart and (stacked) bar chart using [**d3**]
[d3 graph examples] to visualize the artists, genres and features of