Kaaviya Harani Murugesan

Data Analyst skilled in extracting insights from complex datasets to drive informed decisions. Proficient in Python, SQL, Excel, Tableau, and Power BI, with experience in statistical modeling, data visualization, and reporting. Strong collaborator, adept at cleaning and transforming data, interpreting large datasets, and delivering solutions to enhance performance. Expertise includes database management, A/B testing, and predictive analytics.

• MongoDB basics -MongoDB university
• Data analytics - Udemy
• Managing agile team - Coursera
• SQL,ML models - Udemy

Customer Churn Prediction and Analysis

Developed a predictive model to identify at-risk customers for a subscription-based company, leveraging Python, SQL, and Tableau. Performed data cleaning, exploratory data analysis (EDA), and applied machine learning algorithms to achieve an 85% prediction accuracy. Created interactive dashboards to visualize churn patterns and key drivers, resulting in a 12% increase in customer retention through targeted marketing efforts.

• Our BLACK BOX project was selected by the RE research and development team at KCT, where I serve as Assistant Team Lead. The project is designed to enhance women's safety during night shifts by providing a solution that aids in preventing assaults by cab drivers, contributing to a safer work environment for women.
• Developed and completed a project Mobile application for Placement tracking using Eclipse and SQLite.
• Done my major project on Multiple object detection in autonomous vehicles using machine learning.