I am a Financial Billing Analyst with 17+ years of experience across finance, billing operations, revenue analytics, and business reporting. I build Power BI dashboards, automate recurring reporting workflows, and turn complex financial and operational data into clear, KPI-driven insights for business and executive decision-making.
Focus: Financial analysis • Power BI reporting • Revenue and billing analytics • KPI development • Reporting automation • Data storytelling
- Deliver Power BI dashboards and executive-ready reports that make performance easy to monitor and act on
- Analyze financial and operational data to identify trends, variances, risks, and opportunities
- Develop KPI scorecards and reporting frameworks that align metrics with business priorities
- Translate stakeholder questions into practical data requirements, metrics, visuals, and actionable insights
- Improve reporting consistency through streamlined, repeatable workflows and data-quality-focused analysis
| Area | Skills |
|---|---|
| Power BI | Data modeling, DAX, Power Query, dashboard design, drill-through reporting, KPI scorecards, paginated reporting |
| SQL | Data extraction, joins, aggregations, transformations, and metric logic |
| Python | pandas, exploratory data analysis, data cleaning, transformation, and visualization |
| R | Statistical analysis, visualization, and exploratory analysis |
| Business Analytics | Financial reporting, revenue and billing analytics, variance analysis, trend analysis, root-cause investigation |
| Reporting Tools | Excel, Tableau, Jupyter Notebook, RStudio, Git/GitHub |
Workforce analytics project using BLS and O*NET data to examine AI and automation impacts on jobs.
- Built Python workflows for data preparation, cleaning, and trend analysis
- Developed Power BI dashboards to communicate workforce shifts and risk patterns
- Presented findings through clear visual narratives to support strategic workforce discussions
Reusable Power BI reporting solution for structured paginated-report exports to Excel.
- Designed a repeatable workflow for operational reporting distribution
- Supported consistent, business-friendly Excel output from Power BI paginated reports
- Demonstrated scalable reporting design aligned with recurring business processes
Exploratory analysis of 140 years of historical naming data.
- Cleaned, structured, and analyzed long-range data in Python
- Identified trend cycles, popularity shifts, and generational patterns through visualization
- Translated raw data into a concise, narrative-driven analytical story
NLP project focused on identifying misconception patterns in open-ended student responses.
- Applied TF-IDF, embeddings, and classification techniques to text-based data
- Explored patterns that can help surface misunderstandings at scale
- Connected model outputs to practical interpretation and insight generation
- 17+ years in finance, billing operations, revenue analytics, and business reporting
- Strong foundation in financial analysis, reconciliations, performance monitoring, and data-driven decision-making
- Experienced in communicating analytical findings to both technical and non-technical stakeholders
- Master’s in Data Science in progress, with bachelor’s degrees in Economics and Management and Accounting
Open to Financial Analyst, Data Analyst, Business Intelligence Analyst, Revenue Analyst, and Power BI-focused opportunities where analytics supports measurable business outcomes.