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Jnapier2/README.md

Jerry R. Napier

Information management, data governance, data analytics, and workflow automation for clearer decisions and more reliable operations.

My background spans more than 10 years across production operations, database operations, digital asset management, reporting, metadata, taxonomy, and process improvement. The projects below show how I turn that experience into tested Python and PowerShell tools with clear operating controls and documented results.

I hold an M.S. in Information Management and a Certificate in Digital Curation from Dominican University.

Portfolio: project overview · case studies

Selected work

  • Digital Asset Governance Audit — Turns provenance gaps, confidence signals, and duplicate candidates into a prioritized stewardship queue with reason-coded next steps using synthetic data.
  • MediaTaggerBot — Uses evidence-based matching, dry-run review, and journaled writes to limit bad-match and partial-write risk. The design is informed by a private 38,171-file audit that verified 838 outcomes and held preservation-sensitive cases closed rather than guessing.
  • BotOps Manager — Centralizes launcher audits, health evidence, and project-scoped process control for independent Windows automation.
  • Avalon Q Supervisor — Turns local device telemetry into explicit health states, dry-run-first recovery decisions, bounded recovery budgets, and auditable operator evidence.
  • Automation Reliability Case Studies — Three design studies on containing risk when external state is uncertain, using explicit evidence, bounded recovery, and stop conditions.
  • Beta Earth — A working browser RPG whose layered engine, validated content, and revision-safe saves keep feature work testable and local state recoverable.

Research and analysis

  • Chicago Food Inspection Outcomes, 2010–2018 — A reproducible analysis of 13,333 public inspection records that separates outcome from facility risk, surfaces decision-relevant follow-up questions, and makes its limitations explicit.
Additional tools
  • Safe Video Downloader — Guarded, observable retrieval of authorized media.
  • MP3 Downloader — Bounded audio-only downloads with duplicate verification.
  • Image Downloader — Rights-aware retrieval with verified writes and duplicate detection.
  • Large Text Chunker — Readable document chunking with traceability and exact reconstruction.
  • NetLossDoctor — Read-first network diagnosis with redacted reports.
  • LAN Router Comms — Authenticated local messaging with bounded queues.
  • Windows Health Audit — Failure-isolated, privacy-preserving health snapshots.
  • Inbox From Hell — A five-shift browser game with transparent decision feedback, layered progression, accessible controls, resilient saves, and full-campaign acceptance testing.
  • Market Automation Pair: entry planner and dry-run exit preview — Demonstrate API integration, reconciliation, fail-closed controls, and release verification across a coordinated workflow. The entry edition requires explicit activation; the exit edition blocks all writes.

Working principles

  • Keep work local when privacy or operator control matters
  • Preview potentially destructive changes before applying them
  • Verify process identity and ownership before process control
  • Prefer structured evidence and checksums to assumptions
  • Keep scope, thresholds, and operating limits in one reviewable configuration
  • Stop safely when recovery cannot be verified

Fixtures in these repositories are synthetic or non-sensitive; credentials, runtime data, generated diagnostics, and downloaded media are not committed.

Pinned Loading

  1. botops-manager botops-manager Public

    Windows operations console that centralizes launcher risk, health evidence, scoped process control, and redacted support data.

    Python

  2. media-tagger-bot media-tagger-bot Public

    Standardizes media libraries with evidence-based matching, dry-run review, journaled writes, and rollback.

    Python

  3. beta-earth beta-earth Public

    Working local-first Python RPG with layered architecture, validated content, revision-safe saves, and an accessible HUD.

    Python

  4. chicago-food-inspections-analysis chicago-food-inspections-analysis Public

    Reproducible analysis of 13,333 Chicago food-inspection records across three ZIP codes, 2010–2018.

    Jupyter Notebook

  5. digital-asset-governance-case-study digital-asset-governance-case-study Public

    Read-only catalog audit that turns provenance, coverage, confidence, and duplicate candidates into a prioritized review queue.

    Python

  6. avalon-q-supervisor avalon-q-supervisor Public

    Local-first Avalon Q supervisor that turns device telemetry into health states, bounded recovery, and auditable operator decisions.

    Python