Zyrra

Medical Billing & Revenue Cycle Specialist | AR Follow-Up | Insurance Verificati

90 ID PROOF
Verified
contact
mark as hired

Overview

Looking for any work (8 hours/day)

at $4.99/hour ($960.00/month)

High school diploma

Last Active

June 26th, 2026 (today)

Member Since

February 15th, 2020

Profile Description

Hi, I'm Zyrra, a Medical Billing and Revenue Cycle Specialist with 4+ years of experience supporting U.S. healthcare providers and insurance-related operations.

My experience includes:

-
Insurance Verification & Eligibility Checks
-
Claims Submission & Claim Corrections
-
AR Follow-Up
-
Denial Resolution & Appeals
-
Payment Reconciliation
-
Medical Collections
-
Payer Follow-Up
- Customer Service Support

I have worked with commercial insurance payers and have experience using Cerner Soarian, Availity, RealMed, Waystar, and various payer portals to manage claims and reimbursement processes.

Before transitioning into medical billing, I spent several years supporting U.S. customers through phone, chat, and email, helping me develop strong communication, problem-solving, and customer service skills.

I am detail-oriented, dependable, and committed to helping healthcare organizations improve revenue cycle performance while providing excellent service.

I'm currently seeking long-term opportunities where I can contribute my medical billing and revenue cycle management experience.

Top Skills

Experience: 2 - 5 years

Other Skills

Basic Information

Age
31
Gender
Female
Website
Sign Up with Pro Account to View
Address
Mandaue, Cebu
Tests Taken
English
C1(Advanced)
Government ID
Sign Up with Pro Account to View

“Some...have been around for about 2 years with us now!”

Spencer Carlson

SEE MORE REAL RESULTS

“We'll definitely continue to hire people using Onlinejobs because it has taken our agency to the next level”

- Marc Diez

Onlinejobs.ph "ID Proof" indicates if "they are who they say they are".

It DOES NOT indicate skill level.

ID Proof scores are 0 - 99 with 99 being the best. It is calculated based on dozens of data points.

It's intended to help employers know who they're talking to is real, and not a fake identity.

Read More »