Professional Tech Stack

A comprehensive map of the tools and frameworks I use to engineer organic growth.

Technical SEO & Crawling

Screaming Frog GSC Chrome DevTools Regex XPath Core Web Vitals

Used for deep-site architecture audits and identifying crawl budget waste (See: Crawl Budget Case Study).

Data Engineering & Programming

BigQuery (SQL) Python Excel Google Sheets Search Console API

Bypassing standard UI limitations to perform large-scale URL analysis and automated reporting pipelines.

Search Intelligence & Competitive Analysis

Ahrefs Semrush MarketMuse Clearscope SurferSEO

Identifying semantic gaps and NLP entity density to displace market leaders (See: Competitive Conquest).

Analytics & Performance Tracking

GA4 Looker Studio GTM Hotjar Microsoft Clarity

Translating raw user behavior into actionable SEO and conversion rate optimization (CRO) strategies.

Operations & Governance

Jira Notion Asana Gumloop SOP Development

Managing the intersection of SEO strategy, engineering execution, and stakeholder reporting.

Automation & Scripting Vault

Custom-engineered solutions for scaling SEO operations and data integrity.

SQL

BigQuery Decay Detector

Calculates rolling 90-day traffic loss to flag "at-risk" URLs before revenue drops.

View Implementation →
JSON-LD

Dynamic Entity Injector

Automated schema generation for high-velocity editorial engines to ensure E-E-A-T signals.

View Implementation →
Python

Log File Log-Normalizer

Python script using Pandas to identify crawl waste and orphaned pages at scale.

View Implementation →
Gumloop

Editorial Gatekeeper

Multi-step automation pipeline that triggers technical QA checks upon article drafting.

View Implementation →