Business Analytics & Machine Learning

I have worked on various Business Data Analytics projects, applying different analytical techniques to real-world business challenges. My work encompassed developing classification models for customer behavior prediction, implementing clustering algorithms for customer segmentation, and creating recommendation systems. I worked with diverse datasets and methodologies, from similarity calculations using Euclidean distance and Cosine similarity to advanced clustering techniques like K-means and DBSCAN. These projects demonstrated my ability to translate complex data into actionable business insights.
Technologies Used: Python, R, Machine Learning Libraries :
Classification Models
Clustering Algorithms
Recommendation Systems
Predictive Analytics