Product operations and data professional focused on understanding how work actually gets done — and using data, metrics, and process design to make it clearer, faster, and more effective. Experienced in analytics, workflow improvement, and delivery support across SaaS and regulated environments, including HIPAA-regulated data. Hands-on with SQL, dashboards, and operational data to define meaningful KPIs, uncover bottlenecks, and improve execution visibility.
Strong individual contributor with a track record of improving turnaround time, productivity, and operational clarity through practical systems teams actually use. Brings a solid analytical foundation, a Lean Six Sigma / Agile mindset, and a collaborative, low-ego approach to problem solving. Seeking fully remote IC roles in operations analytics, business intelligence, process improvement, or product / operations support.
Analyze messy, real-world operational data and translate it into actionable insight
Design and maintain dashboards that support day-to-day decision-making and execution visibility
Clarify intake, prioritization, and handoffs across cross-functional teams using metrics and process design
Document scalable processes and standards that improve consistency without adding friction
Creative problem solving to translate high-level, strategic goals into practical, executable solutions
Data & Analytics: Advanced SQL, Python, R, Excel (joins, transformations, validation, analysis); HIPAA-regulated data handling; data quality & integrity
Visualization & Communication: Power BI, PowerPoint, Visio, Draw.io; dashboard design, data storytelling, executive reporting
Process Improvement & Operational Analytics: KPI & metric definition, performance measurement, root cause analysis, operational analytics; continuous improvement (Lean Six Sigma, Agile)
Project & Work Management: Jira, Confluence, Salesforce, MS Project; cross-functional delivery support
Individual contributor driving process analysis, KPI design, and execution visibility across sales, operations, and delivery teams in a SaaS environment.
Defined and operationalized KPIs for throughput, turnaround time, and delivery health.
Built and owned dashboards and reporting (Jira, Confluence, BI) used by operations and leadership.
Analyzed workflow bottlenecks and capacity constraints, contributing to ~15% YoY improvement in turnaround time.
Standardized processes, data definitions, and review steps to improve consistency and quality.
Supported execution and prioritization across cross-functional teams through clear metrics and workflow visibility.
Worked with sensitive customer and health data in HIPAA-regulated environments.
Analyzed large engineering and product support datasets to identify errors, gaps, and improvement opportunities across technical documentation and support processes to meet contractual requirements in an ISO 9000-regulated environment.
Developed and automated data tools (Excel, Access, SQL) to standardize workflows, reducing cycle time by up to 43% and significantly improving data quality.
Documented and improved end-to-end processes to reduce defects, rework, and manual handoffs; contributed to measurable gains in productivity and consistency.
Collaborated with engineering, technical publications, and product support teams to translate complex technical data into usable outputs to provide visibility into work status.
Master of Science, Data Science University of Wisconsin-Oshkosh
Capstone topic: Using Product Adoption Data to Drive Business Strategy: An Application of Rogers’ Product Adoption Curve
Graduate Certificate, Business Foundations University of Wisconsin-Oshkosh
Bachelor of Science, Mathematics University of Wisconsin-Oshkosh
Lean Six Sigma, Green Belt