Modupeola Fagbenro

Modupeola Fagbenro is a Data Science -Engineering with years of experience in analytics, experimentation, optimization, and machine learning with GenAI research applications that drive measurable business growth. With an MS in Data Science from George Washington University and hands-on experience at Amazon and other organizations, she has developed systems that reduced execution time and compute costs by 25%, built pricing optimization models that increased profitability by 40%, and designed analytics solutions that delivered significant business impact through A/B testing and data-driven experimentation across customer analytics, predictive modeling, revenue and data pipeline optimization. Modupeola excels at the intersection of technical depth and business strategy, whether forecasting revenue with statistical models, designing experiments that optimize customer experiences, or building AI systems for research applications. Her graduate research focuses on agentic AI systems and large language model (LLM) applications, reflecting her commitment to staying at the forefront of the field. Beyond her technical work, she is passionate about making data science accessible and impactful through her involvement in the women in data science community as a mentor and advocate for diversity in tech.