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anijic/README.md

Hi, I'm Charles Aniji 👋

Chemical Engineer turned GA4 Data Integrity Auditor | Process Control & Zero-Loss Tracking

I don't approach tracking as a marketer; I approach it as a process engineer. Most e-commerce and SaaS teams don't realize their tracking is broken until it has already corrupted weeks of ad spend decisions. I apply Mass Balance and Failure Mode Analysis (FMEA) to analytics infrastructure to find where the pipeline leaks and why.

🚀 What I Do

  • GA4 Data Integrity Audits: 47-point diagnostic across Shopify, GTM, and GA4 — scored matrix, dev-ready fix tickets, and QA monitoring dashboard
  • Zero-Loss Tracking: Deep-dive GTM container reviews, cross-domain integrity checks, and silent failure detection before it corrupts your ad spend signals
  • NL2SQL & Semantic Layer QA: Design of Experiments stress-testing of AI-powered query platforms — diagnosing architectural failures before they reach production
  • SaaS Revenue Protection: Dual-method SQL redundancy validation to identify at-risk MRR before it disappears from your model

📊 Featured Projects

  • GA4 & NL2SQL Architecture Stress-Test — Diagnosed 16 critical failures across 5 bug classes using a 30-query Design of Experiments (DoE). Real client. 5-star review.
  • SaaS Revenue Risk Engine — Identified $250K at-risk MRR using engineering redundancy validation and dual-method SQL cross-checks. Random Forest ML + Tableau control panel.

🛠 Stack

GA4 Google Tag Manager Shopify BigQuery SQL Python Looker Studio Scikit-learn Tableau

📫 Work With Me

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  1. ga4-data-integrity-audit ga4-data-integrity-audit Public

    GA4 tracking audit delivering a 47-point diagnostic matrix, developer-ready fix tickets, and a Looker Studio QA monitoring dashboard.

  2. saas_churn_predictor saas_churn_predictor Public

    Heuristic + ML churn risk engine. Phase 1: SQL safety-factor scoring & Tableau control panel. Phase 2: Random Forest predictive model with scenario analysis. $249K at-risk MRR identified.

    Jupyter Notebook 1

  3. nlq_platform_stress_test nlq_platform_stress_test Public

    30-query DoE stress-test of an enterprise NL2SQL semantic platform. Diagnosed 16 architectural failures across 5 bug classes using BigQuery ground-truth validation.

  4. Retail_Analytics_Repo Retail_Analytics_Repo Public

    RFM segmentation and market basket analysis on 540K+ transactions identifying £350K revenue opportunity. SQL, R, Tableau.

  5. Customer_Journey_Analysis_Repo Customer_Journey_Analysis_Repo Public

    Analyzed 4.2M+ rides in BigQuery to identify 18% membership conversion opportunity. SQL, Tableau, geospatial analysis.