hanna maus.
SYSTEMS / DATA / PROCESS

Complicated problems.
Thoughtful systems.
Better ways forward.

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
Curiosity meets operational reality.FIGURE IT OUT. MAKE IT WORK.

01 / SELECTED WORK

Different problems.
The same instinct to solve.

From relational databases to reporting, the interesting part is how everything connects.

DATABASES / BILLING
Storage records
Customer & charge logic
Billing output
Conceptual overview · no operational data shown
01 / DATABASES / BILLING

Storage Charges Billing System

Turning operational storage data into structured billing output with customer-specific charge logic.

Built & used

Microsoft AccessSQLRelational modeling
Explore case study ↗
02 / ANALYTICS / OPERATIONS

Monthly Operations Metrics Dashboard

Bringing monthly operational metrics into a consistent visual reporting layer.

Overview under review

Power BIData transformationKPI reporting
Explore case study ↗
DATABASES / MANUFACTURING
Scrap & downtime records
Relational model
Planned daily report
Conceptual overview · no operational data shown
03 / DATABASES / MANUFACTURING

Scrap & Downtime Reporting System

Designing a relational foundation for repeatable daily scrap and downtime reporting.

In development

Microsoft AccessSQLManufacturing reporting
Explore case study ↗

MORE WORK / MORE QUESTIONS

The work keeps expanding.

ERP & data integrity

Investigating how transactional data, inventory, and operational workflows fit together. A sanitized project account is being prepared.

Contract billing engine

Billing logic and automation work. Client identities, contract terms, and rate structures are withheld.

Velvet Raven Labs ERP / MRP

An independent exploration of ERP architecture, materials planning, and warehouse receiving.

Monte Carlo analysis

An academic simulation project exploring uncertainty through repeated trials.

Earlier technical work

Python, IoT, and engineering projects: earlier steps in a practice built around learning by making.

Manufacturing Leading Indicators · In development

Exploring whether public economic indicators can provide advance signals relevant to manufacturing operations, using SQL, Python, and analysis.

02 / WHAT I DO

Work across the gaps.

The process, the data, and the system are parts of the same problem.

01 — UNDERSTAND

Untangle the process.

Trace how the work actually happens. Find the handoffs, recurring friction, and questions worth asking.

02 — CONNECT

Make the data make sense.

Connect records, relationships, and business logic so the information reflects the operation behind it.

03 — BUILD

Turn understanding into tools.

Build databases, reporting, and practical improvements that help people move the work forward.

03 / ABOUT HANNA

Curious by nature.
Practical by necessity.

“Figure it out.”

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

The toolkit follows the problem.

Data & databases

SQL · Microsoft Access · Relational database design · Data integrity

Analytics & reporting

Power BI · Excel · Data transformation · Operational metrics

Systems & processes

ERP / MRP · Workflow analysis · Billing logic · Process improvement

Code & exploration

Python · Monte Carlo analysis · GitHub · Supabase

05 / EDUCATION & CERTIFICATIONS

Always adding to the toolkit.

PROCESS IMPROVEMENT

Lean Six Sigma
Yellow Belt

AIGPE · August 23, 2026

PROCESS IMPROVEMENT

Lean Six Sigma
White Belt

AIGPE · August 19, 2026

CURRENT STUDIES

Bachelor of Technical Management

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

Have a complicated problem?
That’s a good place to start.

Open to full-time, contract, and project-based work. Let’s talk about systems, data, operations, and work that needs figuring out.