• Lecture time: Thursday: 12:30:00 - 13:20:00 ET
  • Lab time: Tuesday: 11:30:00 - 13:20:00 ET
  • Domain: Manufacturing
  • Keywords: Aerospace, Analytics, Business Intelligence, Data Cleaning, data mining, Data Visualization, Machine Learning, Predictive Analysis, Sales Forecasting
  • Tools: Data Analytics, Machine Learning, Power BI, Python, R, Tableau
  • Citizenship: Open to all students

Develop a predictive model by leveraging advanced analytics and machine learning techniques, the project aims to provide an accurate sales forecast that in turn enhances internal inventory management, optimizes supply chain operations, and improves sales strategies.


Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'BAE' in the Note section and select the appropriate CRN.]