Featured · Data analytics
PublicMonster Lab
A reproducible analytics pipeline and dashboard examining game difficulty, cross-system scaling, model limitations, and simulated outcomes.
Sacramento, California
Security-minded systems.
Data-backed decisions.
I’m an IT and security professional building reliable tools at the intersection of systems engineering, security operations, and data science.
Selected work
Built beyond the tutorial.
Case studies focused on constraints, design decisions, evidence, and the tradeoffs behind the result.
Infrastructure · Security
A small homelab with a real threat model
A defense-in-depth architecture built around private networking, least privilege, service isolation, recoverable backups, and evidence-based hardening.
Product engineering
Lean Pantry
A practical meal-planning application that turns a curated recipe dataset into editable weekly plans, scaled ingredients, and grocery lists.
About
I care about systems that hold up under scrutiny.
My background spans IT operations and security, with formal study now extending into data science. The common thread is disciplined problem-solving: define the real constraint, make state observable, test assumptions, and document the limits of the result.
I hold a B.S. in Information Technology and industry certifications including CySA+, Security+, Network+, AWS Cloud Practitioner, Project+, and ITIL 4 Foundation. I’m currently completing an M.S. in Data Analytics, Data Science specialization.
01Evidence over theater
02Secure by design
03Useful beats clever
Field notes
What I learned while building.
A backup is not trusted until restoration succeeds
Why successful jobs and healthy repositories are evidence of storage, not recoverability.
Connect
Interested in the work?
skylerbradley1@gmail.com