Data Analyst | Medical Virtual Assistant | Medical Biller

I can do an advance level of forWith 10 years of hands‑on experience in Microsoft Excel, I specialize in building automated reporting systems, data management workflows, and analytical tools that improve accuracy, efficiency, and decision‑making. My work spans healthcare, finance, operations, and business analytics—allowing me to deliver structured, compliant, and high‑impact solutions. Key Responsibilities & Achievements - Designed and automated complex Excel workflows, reducing manual processing time and eliminating repetitive tasks through formulas, Power Query, and structured templates. - Built dynamic dashboards and KPI reports using PivotTables, slicers, charts, and advanced data modeling techniques. - Developed custom templates for invoicing, financial tracking, AR monitoring, QA scoring, and operational reporting. - Created automated data pipelines using Power Query to clean, transform, and consolidate data from multiple sources (CSV, Excel, SharePoint, system exports). - Implemented validation rules and error‑checking systems to ensure data accuracy, compliance, and audit readiness. - Performed deep‑dive analysis to identify trends, anomalies, and performance gaps across large datasets. - Optimized existing Excel files for speed, structure, and usability, improving team productivity and reducing errors. - Collaborated with cross‑functional teams to translate business requirements into automated Excel solutions. Technical Expertise - Advanced Formulas: INDEX‑MATCH, XLOOKUP, SUMIFS, FILTER, LET, LAMBDA, dynamic arrays - Power Query: ETL automation, data cleaning, merging, appending, transformation logic - PivotTables & PivotCharts: KPI reporting, trend analysis, drill‑downs - Data Modeling: Relationships, structured tables, normalization - Automation: Templates, macros (basic), workflow optimization - Data Validation: Rules, conditional formatting, error prevention - Integration: Excel ↔ Power BI, SharePoint, CSV, system exports Strengths - Highly structured and process‑driven approach - Strong focus on accuracy, compliance, and data integrity - Ability to simplify complex data for non‑technical users - Skilled in building scalable, reusable, and professional Excel systems - Consistent delivery of clean, automated, and client‑ready outputs mula and excel

With 10 years of experience in data analysis and data management, I specialize in transforming complex, high‑volume datasets into clear insights, automated workflows, and decision‑ready reports. My work spans healthcare, finance, collections, telecommunications, and operations—allowing me to bring a cross‑industry perspective to analytics, quality assurance, and performance improvement. Core Responsibilities & Achievements - Designed and automated end‑to‑end reporting workflows using Advanced Excel, Power Query, and Power BI, reducing manual effort and improving data accuracy. - Built interactive dashboards and KPI scorecards for leadership, enabling real‑time visibility into operational, financial, and performance metrics. - Managed large datasets across multiple systems, ensuring data integrity, validation, and compliance with organizational and industry standards. - Conducted deep‑dive analysis to identify trends, anomalies, and root causes, supporting strategic decisions and operational improvements. - Developed standardized templates and documentation for reporting, invoicing, and data processes, improving consistency and audit readiness. - Collaborated with cross‑functional teams (billing, finance, operations, QA, IT) to align data requirements and streamline workflows. - Led data quality initiatives, including error detection, reconciliation, and process optimization to reduce rework and improve reporting reliability. - Supported AI/ML and automation projects through data preparation, labeling, validation, and performance monitoring. - Provided insights for fraud detection, revenue cycle optimization, and operational efficiency, depending on the industry context. Technical Expertise - Advanced Excel: Power Query, PivotTables, formulas, automation, data modeling, template design - Power BI: Dashboard creation, DAX measures, KPI tracking, data modeling - Data Management: Cleaning, validation, governance, documentation, workflow design - Reporting & Analytics: Trend analysis, forecasting, KPI development, performance monitoring - Tools & Platforms: SQL basics, CRM/ERP systems, EMR/EHR systems, billing platforms, data pipelines

I have 2 years of hands‑on experience using Power BI to design interactive dashboards, build data models, and deliver actionable insights for operational, financial, and performance reporting. My work focuses on transforming raw datasets into clear, executive‑ready visualizations that support decision‑making and process improvement. Key Responsibilities & Achievements - Designed and developed interactive dashboards for AR, finance, operations, and performance monitoring, tailored to leadership and frontline teams. - Built optimized data models using Power Query and relationships to ensure clean, reliable, and scalable reporting structures. - Created DAX measures and calculated columns for KPIs such as aging buckets, denial categories, turnaround time, productivity, and trend analysis. - Automated recurring reports, reducing manual work and improving data accuracy through scheduled refreshes and standardized data pipelines. - Integrated multiple data sources (Excel, CSV, SharePoint, SQL, and internal systems) into unified reporting environments. - Improved data quality by applying transformation rules, validation checks, and standardized data structures in Power Query. - Collaborated with stakeholders to gather requirements, refine KPIs, and ensure dashboards aligned with business goals. - Delivered executive‑level insights through drill‑downs, slicers, and dynamic visuals that highlight trends, bottlenecks, and performance gaps. Technical Skills - Power Query (ETL, transformations, data cleaning) - DAX (measures, time intelligence, KPI logic) - Data modeling (relationships, star schema, normalization) - Dashboard design (UX, layout, KPI storytelling) - Scheduled refresh, gateway setup, and workspace publishing - Integration with Excel, SharePoint, and other data sources

Over the past year, I have been building and optimizing Power Apps solutions to automate manual workflows, improve data accuracy, and streamline operational processes across teams. My work focuses on transforming spreadsheet‑based or email‑driven tasks into structured, user‑friendly applications integrated with SharePoint, Excel, and Power Automate. Key Responsibilities & Achievements - Designed and built custom canvas apps to replace manual forms, trackers, and approval workflows. - Integrated Power Apps with SharePoint, Excel, and Power Automate, enabling seamless data capture, validation, and automated notifications. - Developed audit and QA tracking tools, improving visibility into task status, error trends, and team performance. - Created user‑friendly interfaces with dropdowns, validation rules, and conditional logic to reduce input errors and standardize data entry. - Automated repetitive tasks such as status updates, reminders, and routing using Power Automate flows triggered by Power Apps submissions. - Collaborated with operations and QA teams to gather requirements, refine workflows, and ensure the app aligned with business needs. - Maintained and enhanced existing apps, adding new features, optimizing performance, and improving usability based on user feedback. Technical Skills - Canvas Apps (UI design, forms, galleries, patching data) - Power Automate integration (approvals, notifications, data sync) - SharePoint Lists & Excel as data sources - Basic Dataverse familiarity - Role‑based access and permissions - Error handling and data validation logic Strengths - Strong understanding of workflow design and process improvement - Ability to translate business requirements into functional low‑code solutions - Detail‑oriented approach to data accuracy and user experience - Skilled in documentation and structured rollout for end‑users

I have 2–3 years of practical exposure to medical coding concepts as part of my work in denial management, claims review, and revenue cycle operations. While I am not a certified coder, I work closely with coding teams and apply coding knowledge to ensure accurate claim submission and faster reimbursement. Key Areas of Familiarity - ICD‑10 Diagnosis Codes Understanding of common diagnosis categories, medical necessity requirements, and how diagnosis coding impacts payer approval and claim outcomes. - CPT & HCPCS Procedure Codes Familiar with procedure coding for office visits, behavioral health services, telehealth, and outpatient services, including modifiers that affect reimbursement. - Coding-Related Denial Resolution Experience identifying and correcting denials related to: - Incorrect or missing modifiers - Mismatched diagnosis and procedure codes - Bundling/unbundling issues - Non-covered or invalid codes - Medical necessity denials - Documentation Review Ability to review provider notes, encounter forms, and superbills to verify coding accuracy before resubmission or appeal. - Payer-Specific Coding Rules Knowledge of coding guidelines used by Medicare, Medicaid, and commercial payers, including NCCI edits and LCD/NCD requirements. How This Supports My Work - Improves clean claim rate by catching coding issues early - Strengthens appeal letters with accurate coding justification - Reduces repeat denials by identifying root-cause coding errors - Enhances collaboration with billing and coding teams - Ensures compliance with payer policies and documentation standards

Over the past 2–3 years, I have specialized in denial management and claims resolution, supporting healthcare organizations in reducing revenue leakage, improving clean-claim rates, and accelerating reimbursement cycles. My work focuses on identifying root causes of denials, implementing corrective actions, and optimizing end‑to‑end billing workflows. Key Responsibilities & Achievements - Reviewed and analyzed denied claims across payers (commercial, Medicaid, Medicare) to determine root causes such as coding errors, missing documentation, eligibility issues, and authorization gaps. - Resolved 60–80+ denials per day through timely follow‑ups, appeals, and corrected claim submissions, ensuring compliance with payer-specific guidelines. - Prepared structured appeal letters with supporting documentation, increasing overturn rates and reducing repeat denials. - Collaborated with billing, coding, and clinical teams to correct systemic issues and prevent recurring denial patterns. - Monitored aging reports and AR trends, prioritizing high‑value and time‑sensitive claims to maximize recovery. - Utilized Excel, Power Query, and reporting dashboards to track denial categories, appeal outcomes, and payer performance. - Implemented process improvements that reduced denial volume by identifying workflow gaps and recommending corrective actions. - Ensured compliance with HIPAA, payer policies, and internal quality standards throughout the claims lifecycle. Tools & Platforms - Advanced Excel (Power Query, PivotTables, automation) - Clearinghouses (Availity, Change Healthcare, Waystar, etc.) - EHR/EMR systems (Epic, Kareo, Athena, DrChrono, or similar) - Payer portals for claim status checks and appeals Core Strengths - Strong analytical approach to denial root-cause identification - Excellent written communication for appeals and payer correspondence - Process-driven mindset with focus on accuracy and compliance - Ability to manage high-volume workloads while maintaining quality

- Electronic Health Records (EHR) management - Updating patient charts and ensuring compliance with HIPAA standards - Medical coding and billing (ICD-10, CPT codes