Electric power systems have heavily adopted Information Technology (IT) to perform real-time control, monitoring, and maintenance tasks. This has improved the operational aspects of power systems but has led the power sector exposed to numerous cyber threats.- Performed feature extraction of the network traffic data from the Microgrid SCADA system and using python library Scapy.- Applied Deep learning and Machine learning techniques for building models to detect intrusion and attacks on Microgrid SCADA system.

In this project, the aim was to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc.- Gathered diverse client data, including demographics, financial history, and loan performance metrics.- Cleaned and transformed data, addressing missing values and outliers, and performed feature engineering.- Analyzed patterns and correlations, visualizing key variables to inform model development.