At Capital Logistics, I analyze shipment performance data using TMS and logistics software, and developed forecasting models that reduced delays by 30%. I also designed and implemented accounting workflows that improved reconciliation efficiency by 50%.
My financial analysis projects include a credit risk scorecard with an AUC of 0.833 and Basel II expected-loss stress testing across five macro scenarios. In a separate portfolio project, I developed a rules-based S&P 500 strategy that reduced maximum drawdown by 47% versus its benchmark.
I’ve also built DCF, comparable companies, and precedent transaction models, and analyzed carbon intensity alongside credit risk. I work with Python, SQL, Tableau, FactSet, and Capital IQ, and I’m a CFA Level 2 candidate.
