- Acquire, clean and analyze EMR data; conduct data profiling, quality assessment and EDA to support RCM and clinical operations.
- Apply ICD‑10‑CM/PCS, ICD‑11, CPT, and HCPCS‑II across inpatient, ambulatory, and professional fee services.
- Perform HCC coding for MA/ACA/commercial payers per CMS guidance; emphasize RAF accuracy and documentation specificity.
- Conduct HEDIS (Healthcare Effectiveness Data and Information Set) quality measures review and reporting to support payer performance and compliance metrics.
- Oversee full‑cycle A/R: coding, claim submission, denial follow‑up and payment reconciliation across multiple clients.
- Analyze billing trends and denial patterns; build data‑driven reports and dashboards to guide appeals and process improvements.
- Collaborate with providers to streamline documentation and billing workflows; deliver staff training and payer communications.
- Technical stack: Python, SQL, R, JavaScript and Excel; automation via Google Sheets API & Apps Script; financial tracking in QuickBooks.
- Develop interactive dashboards and web assets (HTML/JS); create visualizations with Pandas, ggplot and Matplotlib.
- Platforms: Epic, M3, Athenahealth, Medisoft, Kareo.
Professional Summary
Certified Coding Specialist (CCS, AHIMA #271762) and Data Analyst with more than a decade of expertise across surgical, inpatient, ambulatory, and professional fee settings. Proven proficiency in ICD‑10‑CM/PCS, CPT, HCPCS‑II, APC methodologies, and HCC risk‑adjustment coding for Medicare Advantage, ACA, and commercial plans.
Experienced data analyst in full‑cycle Revenue Cycle Management (RCM), leveraging Epic, Athenahealth, Kareo, and Medisoft to deliver actionable insights from coding through denials and reconciliation. Skilled in applying machine learning and predictive modeling to healthcare analytics to improve coding accuracy, reimbursement, and compliance outcomes.
Technical expertise: SQL, Python, R, JavaScript, and Java; automation with Google Sheets API & Apps Script; advanced analytics and visualization using Pandas, Matplotlib, ggplot, and R packages. Proficient in both front‑end and back‑end web development.
Academic foundation as a Biochemist with advanced training in bioinformatics, specializing in genetics for cancer research and pharmaceutical applications. Professional background includes medical and OTC pharmaceuticals, cosmetic‑grade product development, microbiology, and FDA GMP compliance.
Completed advanced Specializations sequences at Johns Hopkins University in Data Science, Biostatistics in Public Health, Machine Learning, and Health Informatics — integrating biomedical knowledge with modern analytics to support healthcare, research, and industry innovation.
Selected Highlights
- Certified Coding Specialist (CCS) — AHIMA #271762; 10+ years across inpatient, surgical, and ambulatory settings.
- ICD-10-CM/PCS, CPT, HCPCS-II with deep experience in HCC risk adjustment, denial management, audits, and compliance.
- Healthcare analytics with SQL, Python, and R — builds reproducible pipelines, cohorts, and decision-support reports.
- Creator of interactive analytics/apps (Flask + Shiny): ICD Co-Occurrence & Predictor and Post-Acute Care 2022 Dashboard.
- Johns Hopkins University Specializations: Biostatistics in Public Health; Health Informatics; Data Science – Statistics & Machine Learning; Data Science – Foundations using R.
- Biochemistry (Clemson University) with genetics/bioinformatics orientation; additional clinical training via Greenville Technical College.
- Full-stack web for healthcare: Flask apps, Google APIs integration (Sheets/Calendar), structured data/SEO, and analytics tagging.
- Bilingual (English/Spanish; Italian conversational) — delivers patient-facing and provider-facing content in two languages.
- Professional focus: accurate coding, compliant RCM, and evidence-based insights that improve operational and clinical decisions.
Experience
Pharmaceuticals and OTC Researcher & GMP Compliance for Skin Care Products
· WSCC Technologies - North America, Greenville, SC
Dec 2019 — 2022
- Pharmaceutical & OTC Researcher — conducted product safety and efficacy studies, supporting regulatory submissions and product development.
- GMP Compliance Oversight — ensured FDA Good Manufacturing Practice adherence across formulation, testing, and labeling processes.
- Microbiology Data Research — managed laboratory data collection and analysis to validate microbial compliance of OTC skin care products.
- Quality Assurance — collaborated with cross-functional teams to implement corrective actions, maintain audit readiness, and document compliance.
- Cosmetic-grade Formulations — contributed to development of skin care products integrating pharmaceutical standards with consumer safety requirements.
Medical Assistant (Coder)
· Wellness and Skin Care Clinic, Greenville, SC
Dec 2005 — 2014
- Applied ICD‑9/ICD‑10‑PCS, CPT, and HCPCS‑II codes while ensuring regulatory compliance.
- Maintained patient records and supported medical billing and payer communications.
- Resolved billing questions with insurers and patients; supported accurate documentation workflows.
- Utilized EHR/billing software to maintain complete, accurate records.
- Reviewed diagnosis coding for completeness and accuracy across assigned care centers.
Education
B.S., Biochemistry · Clemson University
Aug 2014 — Dec 2017
Bioinformatics‑oriented program. Areas: Genomics, Proteomics, Biostatistics, Python for Data Science.
A.S., Science · Greenville Technical College
Aug 2010 — May 2014
Medical Assistant · Greenville Technical College
Aug 2002 — May 2005
Certifications & Specializations
Featured Specializations — Johns Hopkins University :
- Biostatistics in Public Health (Johns Hopkins University) — study design, inference, regression, and interpretation for population-level decisions.
- Health Informatics (JHU) — EHR workflows, interoperability (HL7/FHIR), clinical data standards, privacy, and governance.
- Data Science: Statistics & Machine Learning (JHU) — supervised/unsupervised ML, model validation, regularization, and reproducible analysis.
- Data Science: Foundations using R (JHU) — data wrangling (tidyverse), EDA, reporting, and pipeline automation.
- Large-Scale Database Systems (JHU) — schema design, indexing, transactions, query optimization, and scalable SQL patterns.
- Johns Hopkins Medical Office Manager — clinic operations, scheduling and patient access, compliance, coding/billing workflows, and KPI tracking.
- Data Science (JHU) — end-to-end analytics lifecycle: acquisition → cleaning → modeling → visualization → communication.
- Patient Safety (JHU) — QI frameworks (PDSA), root cause analysis, human-factors principles, and risk mitigation.
Full list of coursework & certificates
- Advanced Reproducibility in Cancer Informatics
- Statistics using R — Certificate
- R Programming — Certificate
- Exploratory Data Analysis (R & Python) — Certificate
- Getting and Cleaning Data — Certificate
- Reproducible Research — Certificate
- Regression Models — Certificate
- Machine Learning — Certificate
- Developing Data Products — Certificate
- Data Science Capstone — Certificate
- Summary Statistics in Public Health — Certificate
- Hypothesis Testing in Public Health — Certificate
- Simple & Multiple Regression in Public Health — Certificate
- The Data Science of Health Informatics
- Outcomes & Interventions in Health Informatics
- Leading Change
- Social & Technical Context of Health Informatics
- Ambulatory Healthcare Management series
- Foundations of Distributed Database Systems
- Distributed Query Optimization & Security
- Reliability, Cloud Computing & Machine Learning
- Patient Safety
- Medical Office Manager
Licenses & Research Certifications
Conflicts of Interest
· CITI Program
Issued Aug 2025 · Expires Aug 2029 · Credential ID 71456214
Data Analytics
Medical Coding
Data or Specimens Only Research
· CITI Program
Issued Aug 2025 · Expires Aug 2028 · Credential ID 71456213
Data Science
Medical Coding
CCS (AHIMA #271762)
Medical Assistant (GTC)