Data Scientist
Current• Implemented an automated data pipeline process for efficient and quality data transformation, reporting, and decision-making for clients.• Increased customer satisfaction rate by 85% for an e-commerce client by identifying major complaints on products and services using natural language processing models in Python.• Created and managed suites of interactive PowerBI and Tableau dashboards for e-commerce clients to analyze customer purchase patterns and trends.• Slashed customer churn rate by 30% for a health service provider using a logistic regression model that predicts churn rate with an accuracy of 86%. • Boosted quarterly sales by 40% through data-driven customer segmentation using a K-means clustering algorithm to target high-volume customer groups.