At Stony Brook University, I’m pursuing an M.S. in Accounting and Analytics, with a 3.97/4.0 GPA, and am CPA eligible. My coursework includes advanced auditing, financial statement analysis, and forensic analytics.
In my forensic analytics project, I applied Benford’s Law and outlier detection tests in Excel to identify anomalous transactions and score forensic units for fraud risk. I also completed a full-cycle audit simulation covering materiality, tests of controls, substantive testing, voucher sampling, and bank reconciliation per GAAS standards.
My project work also includes equity research on Pitney Bowes and analysis of non-GAAP earnings disclosures by McDonald’s and Restaurant Brands International. I built KNN and neural network models in Python to classify music attributes using a Spotify dataset.
