• Awarded Visa's Technological Innovation Award (April 2024) for building out a new approach to payment controls that leverages proprietary AI at several levels of the payment flow.• Successfully Launched Visa's IoT payment solution in 3 African markets, onboarding 500+ merchants within 3 months & driving transaction growth by leading the go-to-market strategy. Collaborated with engineering, legal and CS teams to ensure product quality, compliance, and support readiness to enable seamless NFC functionality for tap-on-phone payments acceptance through acquirers' mobile apps.• Enabled 15+ Visa products to leverage Generative AI technologies, increasing operational efficiency by 25%. Drove development of Visa's Generative AI platform, including CYBS Developer Buddy, facilitating 30% faster partner product launches and projecting a 10% annual revenue growth.• Ensured compliance and data protection by collaborating with cybersecurity, engineering, data science, operations, and procurement teams to implement secure AI solutions using on-premises models (e.g., Mistral) and external APIs (e.g., OpenAI).• Reducing product integration time by 50% and accelerating client onboarding by 30% by implementing a modular architecture. Enabling acquiring and fintech clients to build customizable payment solutions with integrated tokenization, fraud prevention, and card processing APIs.• Reduced client time-to-go-live by 30% and decreased support costs by 20% by overhauling Visa's Developer Community platform. Conducted user research, implemented UI/UX enhancements, and utilized A/B testing, resulting in a 25% increase in user satisfaction metrics.

Data-Driven Recommendation System:• Increased ticket conversion rate by 20% by leading collaboration with engineering and data science teams to develop a machine learning-based recommendation system using collaborative filtering algorithms. Utilized Python and scikit-learn to offer more relevant events to users.User Engagement Enhancement:• Boosted user engagement by 25% by orchestrating cross-functional efforts with design and UXresearch teams to streamline the user experience and uncover overlooked user personas. Served as the central coordinator, leveraging feedback from user interviews and collaborating within Figma to deliver a more intuitive interface and reduce user drop-off rates.

• Achieved an 80% increase in the efficiency of determining the annual impact of tuition waivers in Texas A&M University by building a system using python• Determined the effect of tuition waivers/financial aid on Texas A&M University’s graduate schools by using MS Access and Excel in the Office of Graduate and Professional Studies• Built online dashboards using Tableau that increased leadership engagement with reports by 60%

• Analysed business requirements and strategy for an internal facing service delivery product with a global roll out to reduce average service delivery wait time by 50% • Performed a cost benefit analysis evaluating various proofs of concepts for a service delivery product against the bank’s business goal

• Implemented both sequential vector classifier and random forests machine learning models to predict any farm land presence in aerial maps to 60% accuracy• Led a team to improve the efficiency (time) of pre-processing data using Microsoft Excel & Python