Built an end-to-end SKU-level demand forecasting system in Python using Jupyter Notebooks, leveraging Prophet and ARIMA models to predict monthly sales for 12,000+ automotive chassis parts—enabling ...

The data for this project consists of price information in time series format for 5 materials: steel, rebar, glass, concrete and plywood, for the period 2007-2018. The goal is to predict the prices of ...

Abstract: The COVID-19 pandemic had a significant effect on worldwide financial markets, resulting in unparalleled instability and unpredictability. This study demonstrates the use of the ...