MVP over perfection
Early versions reveal what people actually need, where the friction really is, and what deserves deeper investment.
Analytics. AI. Product Execution.
I lead end-to-end analytics and AI initiatives that simplify operational and financial complexity, turning fragmented workflows into products teams can actually use.
Overview
My work sits at the intersection of analytics, AI, and cross-functional execution. I lead initiatives end to end, from translating ambiguous business problems into usable systems to driving adoption across finance, operations, and leadership.
I care about building the right MVP before chasing perfection. Real usage reveals the real problem. For complex work, progress comes from strong relationships as much as technical depth.
Cross-functional analytics leadership close to business and operations.
Productizing data-heavy workflows into systems teams trust.
Pragmatic MVP thinking with strong stakeholder alignment.
Focus
Approach
Early versions reveal what people actually need, where the friction really is, and what deserves deeper investment.
Complex systems move faster when the right operators, partners, and stakeholders are involved from the start.
Career
Tesla Motors
Leading analytics and AI initiatives across logistics and finance, including spend intelligence, cost engineering, audit automation, forecasting, and internal AI product development. The work spans product strategy, data systems, deployment, and cross-functional adoption.
Tesla Motors
Built analytical tools for logistics cost recovery and process automation, including chargeback analysis and carrier API onboarding to improve audit integrity.
Texas A&M University
Designed internal tracking tools and taught applied Python and R, sharpening both technical depth and communication across practitioner audiences.
Suzuki Motors Corp
Managed equipment and vendor programs for new vehicle launches while improving manufacturing uptime through data-driven root cause analysis.
Projects
Internal AI Product
Built an internal conversational interface on top of logistics and financial data, making it easier for teams to query systems, retrieve business-ready answers, and reduce dependency on manual analysis.
Analytics Modernization
Turned a spreadsheet-heavy cost allocation workflow into an automated engine, improving consistency, reducing manual effort, and creating a stronger operational foundation for scale.
Leadership and Adoption
Designed and led a multi-part enablement program that helped analysts and leaders move from AI curiosity to practical adoption through applied workflows, agentic use cases, and low-code tools.
Decision Intelligence
Built analytics systems that gave finance, operations, and procurement teams clearer visibility into logistics cost drivers, supplier performance, and transportation efficiency.
Operations Automation
Built internal workflows that reduced manual audit effort, improved data reliability, and made logistics invoice review more efficient for users across regions.
Product Build
A resume refinement application exploring how AI can make professional storytelling clearer, more intentional, and less manual for end users.
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