Completed a comprehensive internship focused on Machine Learning, with a primary project on “Crime Rate Prediction using K-Means Clustering.”
• Applied clustering algorithms to analyze crime data, categorize crime-prone areas, and derive actionable insights.
• Gained practical experience in data preprocessing, model implementation, and performance evaluation.
• Collaborated with team members to optimize machine learning models for improved accuracy and efficiency.
• Demonstrated a high level of dedication, analytical thinking, and a proactive approach to learning throughout the internship.
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Data Analysis and Modeling
Analytical and Problem solving skills
Interpersonal Skills