A dependency-free, no_std Rust crate for secure in-memory secret handling, constant-time checks, and automated clear-on-drop zeroization.

One-page reference on GTIN, GDSN, item-setup, and freight-class rules for specialty food operators, with a downloadable PDF.

Product data validation tool for specialty food brands preparing for national retail

A complete product data health audit for a fictional specialty food company. Five artifacts (HTML report, executive tearsheet, dashboard, Excel workbook, Shiny calculator) from one R+Quarto pipeline. Portfolio piece.

Local web app that anonymizes tabular data through guided column-by-column review. Deterministic mappings, format-preserving fakes, bidirectional reverse lookup.

Compare two tabular data files and get a clear report of what changed — rows added, removed, or modified, with before/after values.

Python CLI that profiles every column in an Excel file and flags hidden data-quality problems (mixed types, sentinel values, missing data, cardinality anomalies) in plain English. Outputs PDF, HTML, JSON, or annotated-Excel reports, with strict cell-level type detection that catches mixed-type columns pandas silently coerces.

TRACER: audit-first intrusion-detection benchmarking toolkit with time-robust evaluation and leakage diagnostics.

Audits messy Excel workbooks for the data-quality issues that show up in real consulting engagements: mixed formats, misused fields, placeholder floods, and phantom duplicates. Generates HTML, Excel, and PDF reports.

Contact data hygiene CLI for music PR. Email validation, deduplication, and enrichment.

Dimension and weight validation for product data — catches the dim-weight defects behind freight chargebacks and compliance fines. Python.

Salesforce-native data-hygiene platform that finds and fixes the CRM data issues that break Agentforce agents: auto-fixing safe changes, routing risky ones for approval, and escalating the rest, via a headless engine, an admin app, and a chat agent.