Machine Learning Internship

Project Overview

Focused on developing predictive models for cybersecurity applications by analyzing historical breach and attack data to identify patterns and predict future risks. Applied various machine learning algorithms and ensemble techniques to improve prediction accuracy for breach risk assessment.

Breach Data Analysis

Predictive Models

Data Preprocessing Pipeline

Attack Pattern Recognition

Key Responsibilities

• Collected and analyzed historical breach and attack data from multiple sources to identify patterns and trends in cybersecurity incidents.
• Preprocessed and prepared data for algorithmic analysis, performing feature engineering, normalization, and cleaning to enhance model accuracy.
• Developed and implemented various machine learning algorithms to predict breach risks and identify attack patterns with high precision.
• Created ensemble learning models that combined multiple algorithms to improve predictive accuracy and reduce false positives.
• Collaborated with cybersecurity researchers to validate findings and refine model parameters for optimal performance.