About

I am a healthcare operations professional building a data analytics portfolio focused on workflow visibility, operational reporting, quality improvement, and decision-support systems.

DataCrafted.Dev is my personal analytics portfolio. It documents how I translate business and operational problems into structured analysis, technical implementation, and stakeholder-ready reporting.

My work sits at the intersection of healthcare operations, data analytics, and process improvement. I am especially interested in how teams can use data to better understand follow-up workflows, retention patterns, service utilization, operational bottlenecks, and resource needs.

Professional Focus

My goal is to develop practical analytics skills that support real-world operational decision-making.

Rather than building isolated dashboards, I use this portfolio to demonstrate a full analytics workflow:

Business problem → analytical framework → technical implementation → stakeholder reporting

Each project begins with a problem statement and strategic analysis, then connects to a technical implementation through the Reporting Lab. This structure reflects how analytics work often happens in real organizations: first by understanding the business question, then by building the tools needed to answer it clearly.

What I Am Building

DataCrafted.Dev is organized around three main areas: Projects, Reporting Lab, and Insights.

• Projects are strategic case studies that define a business problem, reframe a dataset, document assumptions, explain methodology, and provide recommendations.
• Reporting Lab posts show the technical implementation behind the work, including dashboards, SQL queries, Python workflows, data models, GitHub repositories, and reporting documentation.
• Insights are short professional reflections on analytics, dashboard design, operational data, workflow visibility, and what I am learning as I build this portfolio.

Technical Areas

My current portfolio work focuses on SQL, Power BI, Excel, Python, GitHub, and quality improvement thinking.

• SQL for querying, data modeling, segmentation, and reporting logic
• Power BI for dashboards, data visualization, Power Query, and DAX
• Excel for trackers, operational tools, and structured analysis
• Python for data cleaning, analysis, automation, and modeling
• GitHub for documentation, version control, and project transparency
• Quality improvement thinking for problem definition, measurement, and workflow analysis

Why This Portfolio Exists

This portfolio is designed to show how I think, not just what tools I can use.

Many analytics portfolios stop at a final dashboard. DataCrafted.Dev is built to show the full path behind the work: the problem being solved, the assumptions being made, the data limitations, the technical build, and the final reporting output.

My goal is to become the kind of analyst who can understand an operational problem from the inside, structure it clearly, and build reporting tools that help teams make better decisions.

Current Development

I am currently pursuing a B.S. in Data Analytics while continuing to build hands-on projects using public, synthetic, and third-party educational datasets.

My project work is intentionally focused on practical business and operational scenarios, including retention risk analysis, workflow visibility, operational efficiency, resource allocation, service utilization, demand planning, dashboard design, and reporting documentation.

Resume and Links

For a summary of my professional background, technical skills, and current analytics work, you can view my resume, GitHub, and LinkedIn below.

Coming Soon

Portfolio Disclaimer: The projects on DataCrafted.Dev are personal educational portfolio projects. They use public, synthetic, or third-party educational datasets. They are not affiliated with, endorsed by, or representative of any employer. No employer data, protected information, internal systems, or confidential workflows are used in these projects.