Presentation
How I Deliver Value:
- Automate Repetitive Work: I replace time-consuming manual processes with reliable automated workflows. (Past result: Automated 30+ reporting processes, reducing manual work by up to 85%.)
- Streamline Complex Workflows: I connect multi-step processes so information and files move where they need to go with less manual intervention. (Past result: Rebuilt a daily workflow in Python, cutting processing time from 2 hours to 5 minutes.)
- Improve Reporting & Visibility: I turn scattered operational data into reliable reports and dashboards that help teams understand performance and make decisions.
- Clean Up Messy Data: I find and resolve duplicates, inconsistencies, and other data-quality problems that disrupt operations. (Past result: Identified and resolved 1,500+ duplicate records affecting downstream workflows.)
- Fix Inefficient Processes: I look at how work gets done, identify unnecessary steps and bottlenecks, and design practical improvements your team can maintain.
Let’s get your team out of the spreadsheet weeds so you can focus on growing your business or driving your mission.
Offered services

Background
- Digitized a backlog of ~100 client intake records within the first two weeks, converting paper files into organized electronic records.
- Identifying opportunities to improve information management, intake, reporting, and other manual administrative processes.
- Built a HIPAA Safe Harbor de-identification pipeline using PostgreSQL, Python, and Streamlit to support compliant data masking and redacting.
- Continued professional development through hands-on analytics projects and healthcare data engineering initiatives.
- Automated 30+ recurring and ad hoc reporting workflows after identifying manual processes that consumed unnecessary staff time, reducing manual processing by up to 85% across 7 departments.
- Investigated inconsistent physician records identified during reporting and led a data deduplication effort resolving 1,500+ duplicate physician IDs and restoring accurate patient-provider matching across the network.
- Engineered CMS and payer-classification reporting pipelines that improved billing accuracy by giving Finance clearer visibility into study-level reimbursement amounts.
- Reconciled frequent General Ledger (GL) and claims extract discrepancies in Excel, delivering critical findings to clients for rapid resolution.
- Executed recurring SQL scripts to maintain annuity data integrity and streamline operational maintenance processes.
- Collaborated with development teams using Agile workflows and Jira to track validation defects, identify root causes, and determine deployment readiness.
- Authored Standard Operating Procedures (SOPs) and validation documentation to ensure operational consistency and onboarding efficiency.



