Storage Charges Billing System
Turning operational storage data into structured billing output with customer-specific charge logic.
Explore case study ↗I’m Hanna Maus. I connect the dots between operations, data, and technology—and build things that make the work make sense.
Explore my work ↓01 / SELECTED WORK
From relational databases to reporting, the interesting part is how everything connects.
Turning operational storage data into structured billing output with customer-specific charge logic.
Explore case study ↗Bringing monthly operational metrics into a consistent visual reporting layer.
Explore case study ↗Designing a relational foundation for repeatable daily scrap and downtime reporting.
Explore case study ↗MORE WORK / MORE QUESTIONS
Investigating how transactional data, inventory, and operational workflows fit together. A sanitized project account is being prepared.
Billing logic and automation work. Client identities, contract terms, and rate structures are withheld.
An independent exploration of ERP architecture, materials planning, and warehouse receiving.
An academic simulation project exploring uncertainty through repeated trials.
Python, IoT, and engineering projects: earlier steps in a practice built around learning by making.
Exploring whether public economic indicators can provide advance signals relevant to manufacturing operations, using SQL, Python, and analysis.
02 / WHAT I DO
The process, the data, and the system are parts of the same problem.
Trace how the work actually happens. Find the handoffs, recurring friction, and questions worth asking.
Connect records, relationships, and business logic so the information reflects the operation behind it.
Build databases, reporting, and practical improvements that help people move the work forward.
03 / ABOUT HANNA
I like the problems that don’t fit neatly into one job title.
My work lives where operations, systems, and data meet. Sometimes the answer is a relational database. Sometimes it’s a dashboard, a better workflow, or asking why we’re doing the same thing seven times.
I learn what the problem needs, connect the pieces, and build from there. Creativity belongs in data work, too.
FITFO is the mindset: stay curious, work through the unfamiliar, and keep going until the pieces make sense.
04 / SKILLS & TOOLS
SQL · Microsoft Access · Relational database design · Data integrity
Power BI · Excel · Data transformation · Operational metrics
ERP / MRP · Workflow analysis · Billing logic · Process improvement
Python · Monte Carlo analysis · GitHub · Supabase
05 / EDUCATION & CERTIFICATIONS
AIGPE · August 23, 2026
AIGPE · August 19, 2026
Business Analytics concentration
DeVry University
Expected graduation: early 2028
Prior coursework in engineering technology and the Internet of Things (IoT), with an emphasis on automation and control, before transitioning to analytics.
06 / LET’S CONNECT
Open to full-time, contract, and project-based work. Let’s talk about systems, data, operations, and work that needs figuring out.