![2022 Project Summary](/assets/img//2022_Portfolio_files/isabela-kronemberger-DYWD8FIqtd4-unsplash.jpg)
2022 Project Summary
Instead of working on analytical insights projects in 2022, I decided to spin up something different. There are 2 notable projects I have been working on this year:
1. Medium Articles
I wrote and published 2 articles to Towards Data Science (TDS) on medium
2. Churn Models on Streamlit
Another key focus on the year was learning and deploying streamlit. There are many web frameworks to render dashboards using python such as dash, flask and streamlit. I decided to go with streamlit as it is capable of turning data scripts into shareable web apps in minutes all in pure Python with no requirements on front‑end experience. Regarding the demo topic, I chose churn models to illustrate how supervised classification models such as GLMs and Random Forests can be utilised to address problems and generate insights.
Feel free to visit my streamlit app to see how streamlit can be used to showcase experimental machine learning models to tackle churn prediction problems. To view the source code, you can also checkout the GitHub repo here.