I am a graduate student at Webster University with over 3 years of experience in data analysis, machine learning, and business reporting. I specialize in transforming complex data into meaningful business insights using tools like Python, R, SQL, Power BI, and Tableau. My project experience spans multiple industries, including healthcare (clinical quality analytics at Clintask Solutions), automotive (regional sales dashboards at Mahindra & Mahindra), and mobility (SQL-based reporting for Ola’s ride operations). I’m skilled in building predictive models, designing interactive dashboards, and writing optimized queries to support data-driven decision-making and enhance operational efficiency.
Analytics of SAR Auto Rental Company
Webster University, Spring 2025
Used R for data cleaning, EDA, and predictive modeling to analyze ride cancellations and identify key driver-related factors., Built classification models (Logistic Regression, XGBoost) to support decision-making on driver allocation and operational planning., Delivered business insights and recommendations to reduce cancellations and improve overall customer experience.
Rainfall Prediction in Australia
Webster University, October 2024
Analyzed 10 years of weather data using Python and SQL to predict next day rainfall. Built and evaluated classification models (Logistic Regression, Decision Tree) to improve forecast accuracy. Visualized patterns and model outcomes to support short-term climate insights.