Data Analyst
- Complete data analysis using a combination of Python, SQL, Javascript, and other skills to reduce fraud and increase acceptance rates- Identify patterns of fraudulent and legitimate activity using Python for data analysis and SQL for data acquisition- Utilize statistical methods using big data sets to identify fraudulent patterns and trends- Experience writing code using Javascript to stop fraud loss and accept legitimate transactions- Use of Tableau and Excel for data visualization - Quickly learn new processes and tools in a fast paced environment where priorities shift rapidly- Respond to fraud attacks and perform rapid, ad-hoc analysis to quickly identify fraud patterns, create rules, and protect honest customers- Investigate data for new features for predictive modeling using feature selection and feature engineering techniques