At Israeli Discount Bank, I analyzed customer volatility across more than $10 million using covariance and z-score variance analysis in Excel to develop a liquidity management strategy. I also developed a plan to transition the Capital Stress Model from T-CAST to Bancware and Evolv, using SQL queries to automate data integration and reduce annual costs by $160,000.
In my statistics project, I analyzed a high-dimensional dataset with R, regression modeling, and feature selection, improving adjusted R² from 0.4196 to 0.4568. I’ve also used Python and pandas to analyze member engagement data for Aerte Sports Group: The Picklr, and held finance roles with Alpha Sigma Alpha and the Humanology Project.

