I am a Data Scientist with years of experience in Machine Learning in the area of Business and Finance. I have a Ph.D. with expertise in designing and conducting statistical studies.
Peer-Reviewed Research Studies
Quad-qualified audit committee director: Implications for monitoring and reducing financial corruption. Journal of Corporate Finance, 2021The Sarbanes-Oxley Act of 2002: Relationship to magnitude of financial corruption and corrupt organizational cultures. Journal of Management Policy and Practice, 2020Deception in financially corrupt organizations. Journal of Business and Behavioral Sciences, 2019Audit committee directors’ characteristics: Implications for reducing financial corruption. Academy of Management, 2019Toward detection of deception in fraudulent annual reports. Academy of Management, 2017
Past Data Science Projects
Predicting crowdfunding with NLP and XGBoostPredicting critical health code violations in Las VegasForecasting performance of auto loansVideo Game Industry Competitor Analysis (1994-2010)Exploring behaviors of budgeting app customersOptimizing costs in supply chain decisionsVisualizing time series of EURO-USD exchange rates