I'm an MBA candidate in Financial & Business Analysis at Quinnipiac University. I combine business analysis with hands-on technical skills to improve reporting, strengthen revenue operations, and build practical business systems. My work spans analytical models in Python and R, Power BI dashboards, CRM workflows, and full-stack applications.
From ecological fieldwork in Nairobi to business analysis and revenue operations in Connecticut, my work is grounded in careful analysis and practical problem-solving.
I'm an MBA candidate at Quinnipiac University's School of Business, concentrating in Financial & Business Analysis. I work at the intersection of analytics, finance, and operations, turning business questions into structured analysis, clear reporting, and usable tools.
In my current revenue-operations internship at Crawford Business Consulting, I serve as Lead Analyst. My work includes building CRM lead-tracking workflows, auditing sales pipelines, defining reporting metrics, and developing Power BI dashboards to identify gaps in data capture and pipeline visibility. Alongside this, I support academic and administrative operations at Quinnipiac through analysis in Python and R and reporting in Excel.
I also build business applications, including storefronts, administrative dashboards, and payroll systems. This hands-on development experience helps me connect analytical findings with the workflows and tools people use every day.
My background in environmental science taught me to collect, question, and validate data carefully. That discipline continues to shape my approach: understand the problem, check the evidence, and deliver something useful.
A selection of roles that have sharpened my approach to analytics, revenue operations, and project delivery.
Three academic projects that show how I move from an open-ended business question to a clear, well-reasoned answer.
An exploratory classification project in Python examining which factors relate to MBA job placement outcomes, using records for 215 students.
A statistical analysis in R, built around a case-study scenario of a consulting firm deciding how to spend its training and hiring budget.
An MBA research paper proposing a framework for how global firms navigate geopolitical shocks.
Full-stack business applications, from storefronts and payroll to a multi-tenant SaaS platform, that I design and build end to end.
A rent collection and property management platform built for rental agencies and landlords in Kenya. Live demo shown with sample data.
A furniture storefront built for two showrooms in Meru, Kenya, so the owner could show a real catalog online and manage it without touching code.
A consulting-firm marketing site built to present services and pricing clearly and let prospects book or send an enquiry.
A self-hosted payroll system built so the business could run its own monthly and biweekly payroll with correct statutory deductions.
The ideas that shape how I approach analysis, operations, and the work I want to keep building.
A dashboard nobody acts on is just decoration. Every analysis should end in a clear recommendation: what to do next, and why.
One-off fixes don't scale. Whether it's a CRM tracker or a reusable script, I build things that keep working after I've moved on.
I use AI as a practical, everyday tool for analysis and development, not a buzzword to chase.
I'm exploring full-time opportunities in business analysis, financial analysis, and revenue operations. If your team needs someone who can connect business questions, data, and practical implementation, I'd welcome a conversation.