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 initiatives across compliance.• 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 needs.• 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 real-world application. Utilize various machine learning models and LLMs to explore viable scenarios and solutions.• 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 a clear analysis of pros and cons.• 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 successful project execution after experiments are completed and the path forward is identified.

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 optimization process for all company products and conducting ad hoc analytics and reporting. ● 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 development and execution of customer-centric product assortments. ● 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 post-performance reports detailing estimated and actualized product sell-through, sales, gross margin and markdown liabilities. ● Own and manage relationship with IT business partners responsible for the support of SAS-based products, services and business processes.● Provide general consultation on statistical questions including: time series forecasting, customer segmentation and clustering, regression, predictive modeling and market basket analysis. ● Successfully restructured the analytics team including the development of standardized documentation and reports for key business processes, database reorganization and implementing a Base SAS programming SOP, increasing the efficiency and effectiveness of business process execution and team member training.

Master Of Arts, Applied Economics

Bachelors Of Science In Business Administration, Economics