Rangena is a disruptor at the intersection of healthcare, data, and technology. As Founder & CEO of Evia Wellness, she is creating a precision, stage-aware platform for women’s midlife health that transforms scattered data—symptoms, labs, medications, devices, and lifestyle inputs—into guided care pathways patients can follow and clinicians can trust.

Rangena’s background spans leadership, operations, human-centered design, data analytics, and regulated-environment delivery, where she led multi-year programs that demanded measurable outcomes, airtight compliance, and stakeholder alignment. That operating cadence now powers Evia’s product and go-to-market: clinician-in-the-loop design, clear problem/solution fit, and an evidence strategy that supports clinical validation and future reimbursement. She is Harvard-educated and a graduate of national entrepreneurship programs, combining strategic training with a practical operator mindset.

A core differentiator is Rangena’s lived experience navigating complex health issues in midlife. This informs Evia’s thesis: women deserve care that adapts to hormonal state, comorbidities, and personal goals—not one-size-fits-all protocols. Evia’s platform targets three outcomes investors care about: (1) speed to the right therapy (fewer trial-and-error cycles), (2) real-world adherence and engagement (patient-centered user experience with clinician workflows), and (3) demonstrable cost and quality impact (measurement baked into product).

Rangena is assembling a cross-functional advisory bench (OB/GYN, endocrinology, behavioral health, payor policy) and partnering with forward-leaning clinics to pilot Evia’s intake, triage, and longitudinal guidance modules. The commercialization path prioritizes B2B2C—clinic networks and employer women’s-health benefits—while maintaining a patient app for engagement and outcomes capture.

Rangena is a credible operator turning services-grade rigor into a scalable, data-rich healthcare product, with a roadmap that compounds value through outcomes data, clinical decision support, and payer-aligned economics.