As a consultant, I lead Data Analytics practices in designing predicative analytic tools that provide market insights. Most recently, I achieved over $5M annually in revenue by winning new business and building trust among stakeholders.My teams have designed growth strategies, financial risk modeling, financial valuation, and predictive analytics for clients in multiple industries, including financial services, chemicals, energy, and government sectors. Notable examples include:• Utilized “Rare Event Modeling” to forecast revenues for Siemen’s energy division• Designed flexible pricing & revenue forecast model for Panama Canal Authority by predicting the movement of individual ships• Designed proactive fraud protection tool for United States Postal Service that recovered $9.5M, & reduced time on fraud cases from 534 to 394 within first 9 months• Developed scalable model for forecasting global demand as part of digital transformation of IHS’ chemical vertical • Designed new generation financial risk model built by collaborating with IT to develop architecture to support itMy leadership style focuses on instilling a culture of accountability and autonomy. Despite the challenges following the 2008 financial crisis, my team at Freddie Mac experienced a high level of candidates hoping to join the team, which was known for its engaged and productive workforce.Consultants must overcome hegemonic resistance to new ideas, but I have been successful in overcoming objections to achieve consensus. I am able to build this trust because my skill set – which leverages economics, technology with the ability to listen – allows me totranslate complex analyses into pragmatic strategies that achieve clients’ growth and profitability goals.A frequent speaker on data analytics, economics and how they predict market insights, I have presented “Decision Analytics: Revealing Customer Preferences and Behaviors” and “Understanding Customers Through External Data,” among others.