Demonstrated expertise in developing and applying quantitative tools including constructing data science projects, building a groundbreaking financial-risk research service and authoring papers and blog posts
Responsible for successful launches of new products including global payments tools, API suites, online portals, cash-management and trading applications and numerous features
Led eCommerce teams for two major banks each generating over $350MM in annual revenue and directed product management, sales, service, trading and research teams of over 50 members
▪ Oversee the design, development and delivery of datasets and machine learning tools supporting PayPal's servicing business units and internal data science and analytics teams ▪ Product responsibilities include web crawling data collection and structuring applications and customer industry-classification models ▪ Programming work includes a mutli-stage pipeline for automated usage reporting and web-crawling jobs supporting online fraud-detection processes
▪ Oversaw the ideation, validation and delivery of new functionality for Veem’s global business-payments platform ▪ Product feature ownership included foreign exchange rate locks, virtual wallets, debit cards and optimal payment-rail routing ▪ Built data models (SQL, JavaScript and Python) to incorporate transaction-activity and user-behavior into feature design and for use in production payment processing
▪ Led product management, domain sales and service for the $350MM-revenue electronic FX revenue division ▪ Delivered user interface and API products to clients ▪ Prioritized, funded and executed the eFX product roadmap ▪ Spearheaded major infrastructure and compliance buildouts
▪ Co-led the global electronic trading, cross-currency payment and consumer FX teams generating $400MM in annual revenue ▪ Sold hedging solutions to multinational corporations ▪ Spearheaded launch of the GCIB portal ▪ Co-created a risk-assessment research group to work with clients and publish research
▪ Built quantitative models for equity valuation and portfolio selection
▪ Built statistical asset allocation models
Masters of Business Administration program with course work covering corporate strategy, finance and human resource management
Bachelor of Science pogram with a major of Mathematics - Applied Economics and course work covering statistics, calculus, linear algebra and micro and macro economics
Intensive immersive program covering Python and SQL programming, data visualization, statistical modeling, natural language processing and machine learning
Statistics Without Borders (SWB) Project Highlight: IMPACT Initiatives
A Machine Learning Approach to Helping Small Businesses Find Pandemic Economic-Impact Relief
A demonstration of TensorFlow modeling pipelines using TensorFlow Datasets and TensorBoard
An analysis of the early press coverage of the 2020 Democratic presidential primary
An exploration of the relationship between poll performance and press coverage using the 2016 U.S. Republican presidential primary as a case study
Using Python, an approach to evaluate which features to include in a statistic model
A discussion of Python techniques to help visualize probability distributions
A explanation of how the straight through processing (STP) of FX transactions can add value as a fully automated component in other transactions, such as commercial payments (with G. Breiling)
A method for incorporating the "total risk" into cost of capital calculations for emerging-market investments (with R. Espinosa; article available upon request)
An illustration of the broader application of VAR analysis in the valuation of a closely held company (with R. Espinosa; article available upon request)
A discussion of why foreign exchange budget rates are important to firms and how they should be set (with A. Miyamoto; article available upon request)