Data Analyst
Current-Analyzed user behaviour and large-scale datasets from music streaming platforms to detect fraudulent activities using advanced machine learning techniques, including regression and clustering models.-Extracted, cleaned, and organized data from BigQuery with SQL, leveraging Python for in-depth analysis and automation.-Developed dynamic dashboards in Looker and Redash to visualize data insights, enhancing decision-making for fraud detection.-Conducted exploratory data analysis on large datasets to uncover hidden relationships between variables, optimizing model performance.-Utilized data labeling tools for precise tagging and categorization, improving the accuracy of fraud detection systems.-Built custom scripts and triggers to monitor and identify data drifts, ensuring data consistency over time.-Collaborated effectively with cross-functional teams to deliver results within tight deadlines.