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PNC Bank                                                                                                                                                  Pittsburgh, PA

Senior Data Scientist and AVP                                                                                                                        2023– Present

• Developing the Data Universe, a map of all data assets, to identify opportunities for data consolidation and cross-team collaboration.  Coordinated with teams across Technology to create Neo4J instance to store map efficiently. Continuing to develop model to consider data proliferation and data lineage.

• Developing AI Metadata Generation model to improve data findability and improve model development pipeline across the firm.

• Developing Graph Convolutional Network (GCN) using peer-to-peer map of customer transactions to identify risky behavior.  Results will feed into downstream anti-money laundering and fraud processes to reduce manual review by investigators. 

• Collaborating with Retail Banking and Marketing to create Customer Journey model to reduce customer churn by quantifying the effect of pain points and optimizing an intervention strategy for maximizing lift and retention.

• Managing team of data scientists on cross-functional project to create behavioral segments of customers as an input for fraud and marketing decisioning models.
   

Augmented Intelligence Labs                                                                                                                    Oxford, UK

Co-Founder, Inventor, and Managing Director                                                                                           2020-Present

• Co-founded Saïd Business School’s first spinout company, which uses mathematical research to identify issues and solutions to key business and social challenges such as managing corporate growth, market positioning, forecasting, business analysis, and applying AI techniques. Worked with 6 multinational corporate clients.

• Invented Hypertrends algorithm that is foundational to Kantar’s Issue Radar Platform and has been used to inform strategy and practice at Ernst & Young (EY), Moët Hennessy (LVMH), Kantar Group, Reckitt Benckiser (RB), Nestlé, and Unilever.

• Integrated cutting-edge Hypertrends algorithm with marketing theory to yield measurable, verifiable, and actionable answers to business questions while facilitating long-term, mid-range, and short-term planning. Worked directly with corporate data scientists to implement algorithms into data pipeline.

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University of Oxford, Saïd School of Business                                                                                           Oxford, UK

Post-Doctoral Research Fellow in Marketing and Reputation                                                                    2019 – 2023

• Conducted mathematical research in social networks and business analytics.  Published independent and coauthored peer-reviewed research in top mathematics journals.  

• Met regularly with industry partners such as Google, Meta, and Twitter. Applied mathematics to solve business problems and develop measurable and verifiable mathematical answers to proprietary and strategic questions.

• Built lasting relationships with executives while championing application of mathematics and data science to answer questions relating to long-term marketing goals, social responsibility, and business strategies.

• Collaborated with enterprises to develop external commissioned reports, proprietary strategies, data, algorithms, theorems, presentations, and workshops.