Getrealready.com
AI-Powered Rental Analysis: Maximizing Cash Flow & Property Value
I am developing a supervised learning model to transform real estate rental analysis, integrating computer vision to accurately evaluate and grade apartments. This system empowers investors by identifying revenue growth opportunities and providing data-driven cost estimations based on the principle of diminishing marginal returns.
Beyond data science, I have spent the past two years redesigning and optimizing over 6,000 square feet of residential space, increasing revenue by 46% while reducing expenses by 5%. Through strategic design and efficiency improvements, I turn properties into high-performing assets, maximizing both cash flow and long-term value.
Azibo
Saving Tenants Money and Landlords Time during the Rental Application Process
Through iterative research and design, we identified inefficiencies requiring tenants to pay for each application. We streamlined the process by allowing tenants to self-report key criteria landlords use for selection. Only chosen tenants were then asked to submit applications.
Azibo
Streamlining Property Insurance: Automating Quotes for Landlords
I built a new service from the ground up for Azibo, expanding the startup into the Property Insurance vertical. Partnering with multiple vendors, we designed a seamless process to generate instant insurance quotes for landlords via API integration. Through multiple iterations, we reimagined the user experience—shifting from manual data entry to automated property lookups—making the application process faster, easier, and more intuitive.
Kaiser Permanente
North Star for Home Healthcare
Shifting economics, needs, and environments are driving the evolution of home healthcare. Kaiser Permanente embraced this change, seeking a fresh vision for delivering house-call services. Partnering with a design consultancy, I led user research, design sprints, and concept development, shaping a new software platform that seamlessly connects clinicians, command center technicians, and patients.
Amazon
Innovating Online Fit: A POC to Minimize Clothing Returns
Tasked with creating a proof of concept (POC) to reduce high return rates for online clothing purchases, I collaborated with another designer to develop multiple concepts that enhanced the in-home clothing evaluation experience beyond the traditional fitting room. These solutions aimed to increase consumer confidence before purchase by offering a 360-degree view and ensuring the right fit during virtual try-ons. The proof of concept was used to demonstrate the business model to stakeholders, helping them assess feasibility and the scope of effort required.
Yoss / Addecco
Uncovering User Needs: Discovery Research for Informed Product Design
Led discovery research in the early stages of a startup’s product development process to uncover deep user needs, motivations, and pain points for both businesses hiring contractors/freelancers and the freelancers themselves. By exploring diverse perspectives across these groups, I developed a comprehensive understanding of their behaviors, challenges, and expectations. Using qualitative methods such as interviews, observations, and surveys, I gathered key insights to inform design and development decisions. This research-driven approach minimized assumptions and ensured the product aligned closely with real user needs, resulting in more effective and impactful solutions.
Capabilities
Research & Strategy
UX research: Concept Testing, Gurellia User Testing, Modeling Customers, Moderated & Unmoderated Testing
Product strategy
Product discovery: Remote Design Sprints, Competitive Audits
Product Design Audits & Evaluations
Design & Prototyping
Experience design
Interface design: iOS, Android, Responsive
Design systems: Figma
Rapid prototyping: Figma, Axure, Keynote, Paper
Product Development
Cross-functional collaboration
Workshop facilitation
Design leadership
Design management
Team assessment & development