Tell a compelling story
People buy what they understand. I explain complex products and data so everyone is speaking the same language.
Product & strategy · Fintech · AI
I turn complexity into growth by connecting product thinking, commercial strategy, and data.
People buy what they understand. I explain complex products and data so everyone is speaking the same language.
Build alignment among product, go-to-market, and engineering leaders, with the client’s voice at the center. I learned early to stay open-minded, adapt fast, and make the whole system work.
Smaller markets have to earn investment. That built my productivity mindset, entrepreneurial spirit, and instinct to overdeliver.
Technical foundation

My education at Fordham gives me the analytical and technical foundation to understand your SaaS product deeply, from its customer behavior and data to the systems and AI behind it. I’ve applied that foundation in fintech product work and AI consulting.
What I learned: How to turn a business decision into a classification problem, prepare real-world data, compare models, and evaluate the cost of different errors.
What I learned: How components, data flows, constraints, and technical trade-offs shape reliable digital products.
What I learned: How to combine sentiment, emotion, topic, entity, and moral-language analysis to make differences in news framing visible.
What I learned: How AI agents use context, tools, and workflows, and why evaluation, safety, and clear product requirements matter.
What I learned: How to translate digital behavior into hypotheses, product decisions, experiments, and measurable outcomes.
Course details: Learning summary to be added.
Selected work
Product management · Fintech · AI
Researched an AI agentic trading feature, translated findings into product requirements, and partnered with engineering on roadmaps and testing. Benchmarked 15+ fintech platforms and automated a DTCC-compliant position-transfer workflow.
AI product · Retrieval · Adoption
Built an AI matchmaking agent connecting related projects and experts across the UN’s global network. Reached 82% retrieval accuracy and 60% pilot adoption, leading the UN engineering team to continue development.
Portfolio strategy · Go-to-market · Regional leadership
Owned product and pricing strategy, go-to-market execution, and cross-functional planning. Delivered a profitability index of 108, +1.5 points of market value share, and a launch contributing 6% of category growth.
Product design · Prompt workflow
Designed and built an AI product that compares résumés with job requirements, generates targeted rewrites, and provides follow-up support for interviews and applications.
Machine learning · Python · Classification
Built and compared logistic regression and tree-based models using 200,000 historical mortgage records. Cleaned the data, engineered features, and tuned the models over a month. The final model reached about 75% accuracy and revealed the factors driving approvals and false rejections.
Natural language processing · Interactive tool
Analyzed 2,334 articles from five outlets using sentiment, emotion, topic, entity, and moral-language methods. Built a tool that helps readers compare how news sources present the same topics.
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