import streamlit as st

with st.expander("Nov-20th"):
    st.write('Replaced the file saving and loading with feather which saved the time by 70%')
with st.expander("Nov-10th"):
    st.write('Replaced the Data pipeline manual with Airflow and Docker (automated)')
with st.expander("Nov-5h"):
    st.write('Added more filtering options: location based, date posted based and job title based')
with st.expander("Feb-19th"):
    st.write('Utilized threadpool executor for fast loading of data which saves 75% of time than sequential loading')