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anijic/README.md

Hi, I'm Charles Aniji 👋

SaaS Churn & Supply Chain Analytics Specialist | ChemE Background | Process Optimization Mindset

I turn operational chaos into insight. Chemical engineering rigor applied to data pipelines.

What I Do

  • SaaS Teams: Churn prediction, LTV forecasting, cohort analysis → 25–35% churn reduction
  • Supply Chain: Demand forecasting, inventory optimization, OEE dashboards → 20–30% cost savings

Featured Project

Stack

SQL Python Pandas Scikit-learn Tableau Power BI BigQuery dbt

Connect

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  1. 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.

  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. Retail_Analytics_Repo Retail_Analytics_Repo Public

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

  4. 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.