Projects

Built a spam email detection system using NLP and neural networks, improving classification performance on imbalanced data with SMOTE and achieving ~98% accuracy.

Built an interactive sales dashboard using Looker Studio to analyze supermarket performance, uncovering trends and customer insights from real-world data.

Developed a Looker Studio dashboard to present customer segmentation results from clustering analysis, transforming processed data into actionable insights for business decisions.

Built a predictive model to identify potential term deposit subscribers from telemarketing campaigns, improving targeting and marketing effectiveness.

Applied clustering techniques to segment customers based on demographics, purchasing behavior, and campaign responses, uncovering patterns to enable data-driven marketing strategies.

Analyzed B2B retail performance using SQL by exploring customer growth, transactions, product categories, and retention, generating insights to support data-driven business decisions.