Gabriel Olson, Cfe, Cams Email & Phone Number

Detroit, MI, US

• Establish and lead a team of data scientists specializing in generative AI and machine learning, driving complex projects from conception through to implementation, to conduct experiments that support proposed AI.
• Develop and deploy a formal technical intake process to identify business use cases and value propositions by engaging key stakeholders across risk and compliance, ensuring alignment with product goals and customer.
• Conduct comprehensive research on data, systems, and technologies to assess the feasibility of AI projects (both generative AI and machine learning), with an emphasis on scalability, long-term sustainability, and.
• Lead generative AI and machine learning experiments to evaluate various approaches for solving proposed problems, integrating models into value-add applications. Provide senior leadership with viable options, including.
• Support IT and technology partners in developing roadmaps for scaling and sustaining large-scale AI projects, offering insights and collaborating effectively across both technical and non-technical teams to facilitate.

Detroit, MI, US

Detroit, MI, US

San Francisco, California, US

• Develop, implement and monitor PIN-based fraud prevention strategies supporting the risk management of the company’s debit card portfolio.
• Support the validation and implementation of all PIN-based strategies in the FICO Fraud Manager Platform.
• Develop and run transaction-level Decision Tree modeling processes to help identify patterns and trends in fraudulent activity.
• Created MIS reporting in Tableau for advanced monitoring and fraud detection of new payment technologies including, EMV and Tokenized (Apple Pay, Android Pay, Samsung Pay, Wells Fargo Wallet).
• Daily monitoring of MIS reports to identify and mitigate risks related to ATM skimming events, POS malware attacks, account takeover and counterfeit fraud activity.
• Collaborate across various teams including Fraud Operations, Fraud Prevention and Deposit Risk to identify possible opportunities for new and existing debit card risk strategies.

Chesapeake, Virginia, US

• Lead a team of 2-3 analysts responsible for the statistical forecasting processes used in merchandise assortment and financial planning, executing the company’s customer segmentation strategy, managing the markdown.
• Direct the generation and deployment of weekly statistical sales forecasts utilizing SAS Forecast Studio, supporting the development of company merchandise financial plans of $10.5-$11.5B on an annualized basis.
• Manage the baseline statistical forecasting process utilizing SAS Forecast Studio to support the assortment planning of 8000+ SKUs across 52 product categories.
• Lead the execution of the company’s customer segmentation strategy with a goal of $25-$30M in increased annual sales. Manage the generation of store-specific clusters and advise business partners and management on the.
• Oversee the company-wide markdown optimization process aimed at reducing annual product markdowns by $6-$8M. Manage the data aggregation and validation of all SKU/store/price reductions. Developed pre and.
• Own and manage relationship with IT business partners responsible for the support of SAS-based products, services and business processes.

Master Of Arts, Applied Economics

Bachelors Of Science In Business Administration, Economics