Financial Analysis Using COVID Data
- Course: CMPT732 Big Data Lab 1 (SFU)
- Tech Stack: Visual Studio Code, Python, Apache Spark, Cassandra, MLib, Tableau
- Github: Link to Project Repository
- Source a comprehensive range of economic indicators to find the impact of COVID-19 on the financial market
- Performed extensive ETL operations using PySpark to clean and organize data which is then stored in Cassandra DB
- Trained optimal model for making future predictions by exploring various regression algorithms in MLib
- Cleaned data and visualized using Tableau to show indicators that were highly susceptible to COVID-19
Sample Dashboard for US Stock Market affected by US and Global COVID Cases
Results after Training ML Model (Stock)