Business Data Analyst Intern
• Developed SQL scripts to streamline the batch ETL process for daily processing of 4M+ electricity usage records, improving data cleanliness for analysis• Implemented electricity usage fraud detection using rule-based criteria and linear regression model, identifying abnormal patterns• Defined key metrics and established thresholds to quantify abnormal usage, improving the false negative rate in detection• Collaborated with cross-functional teams to build a Tableau dashboard for monitoring electricity usage per account, preventing a 5% predicted revenue loss through fraud detection