What I Build
Specialized intelligence systems for e-commerce growth and operations.
AI Decision Systems
Predictive and optimization systems designed for smarter business decisions.
Inventory Intelligence
Stock visibility, replenishment risk and operational analytics systems.
SEO & Ads Intelligence
Google Ads, SEO and GA4 analytics systems focused on growth and performance optimization.
Data Pipelines
SQL → Python → Power BI workflows and automation systems.
Executive Dashboards
Business-focused dashboards supporting strategic and operational decisions.
Projects & Case Studies
AI-driven analytics and decision systems for e-commerce growth and operational visibility.
Marketing Decision Intelligence Pipeline
Executive Summary: A marketing decision intelligence system designed to transform fragmented marketing data into structured, data-driven business decisions.
Problem: Disconnected datasets meant manual, reactive, and inefficient decision-making.
Solution: A Python pipeline combining data processing, feature engineering, machine learning and LLM-generated business recommendations to automate marketing decision-making.
Impact: Reduced manual analysis workload by over 40 hours per month, prioritizing high-value customer segments and campaigns over intuition.
SEO Organic Growth Intelligence Pipeline
Executive Summary: A machine learning pipeline shifting organic SEO from reactive analysis to a data-driven, predictive decision system managing 50,000+ URLs.
Problem: Analysts spent 40+ hours per month reviewing Search Console data without predictive visibility or ROI frameworks.
Solution: Processed 50k+ URLs, engineered 30+ features, leveraged Random Forest forecasting and integrated a Claude-powered LLM commentary layer to automatically generate executive summaries and SEO recommendations.
Impact: Increased organic traffic value by 35% through ROI prioritization and automated the equivalent of 40+ hours of manual analysis.
Ads ML Budget Intelligence
Executive Summary: A machine learning pipeline to transition Google Ads budget management from manual, reactive updates to automated, data-driven strategies.
Problem: As ad spend grew 65% YoY, manual budget decisions on multi-channel, holiday-spike sensitive data failed to systematically forecast scale scenarios.
Solution: Random Forest regressions simulate multiple budget scenarios and use Anthropic-powered LLM recommendations to generate explainable AI-driven budget allocation decisions.
Impact: Kept overall ROAS stable at ~14.6x while managing a 30% YoY revenue uptick and heavily streamlining budget redistribution decisions across 4 distinct ad-channels.
FreedomHouse™ — Federal Housing Coordination Platform
Executive Summary: A Canada-based housing coordination platform designed to support land registry, modular housing workflows, and data-driven infrastructure planning.
Problem: Housing coordination processes require structured land data, role-based access, legal documentation, and clear workflows between landowners, builders, eco-professionals, and home seekers.
Solution: Prepared Software Requirements Specification (SRS) documentation covering identity management, role-based access, land registration, capacity management, field specifications, use cases, and prototype screen documentation.
My Contribution: Business analysis, requirement engineering, use case design, workflow documentation, field validation logic, and prototype interpretation for Module 1 and Module 2.
Focus Areas: RBAC, land registry workflows, GIS-based data logic, modular design assignment, audit trail requirements, and user dashboard flows.
CCSH — Community Care Senior Hub
Executive Summary: A Canada-based community care and senior wellness ecosystem focused on healthcare coordination, accessibility management, senior wellness tracking, and community-centered support.
Problem: Senior wellness platforms require structured registration, role management, credential verification, wellness profiling, accessibility logic, emergency contacts, and compliance-aware workflows.
Solution: Prepared SRS documentation for Module 1 and Module 2, covering user registration, role management, professional credential verification, senior wellness profiles, mobility levels, program participation, and emergency contact flows.
My Contribution: Designed business requirements, use cases, field specifications, workflow logic, validation rules, and prototype documentation aligned with healthcare-oriented platform needs.
Focus Areas: PHIPA/PIPEDA-aware requirements, wellness profile structure, mobility and accessibility logic, credential review flow, attendance tracking, and senior support workflows.
Dashboard & Insights
Power BI dashboards designed to support executive decision-making, performance optimization, and operational visibility.
Decision Outcomes Enabled
- • Executive Decision-Making
- • AI-Powered Analytics
- • Operational Intelligence
- • Performance Optimization
- • Growth Analytics
- • Inventory Intelligence
- • Predictive Insights
- • KPI & Business Reporting
Speaking & Seminars
TV appearances, conferences and online seminars on AI-driven decision systems and data analytics.
📺 TV Appearance · Business Time
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🎤 Online Seminar · May 10, 2026
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Recognition & Media
Featured success stories and media appearances.
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Publication
A practical guide to AI-powered marketing intelligence systems for e-commerce growth.
AI-Powered Marketing Intelligence
A Complete Practitioner's Guide — SEO, Ads & Inventory Intelligence with Python & ML
A practical guide to building AI-powered marketing intelligence systems. Covers SEO organic growth pipelines, ML-based Google Ads budget optimization, inventory intelligence and multi-channel attribution — backed by real data showing +177% organic traffic, 8.17% peak CTR, £110K+ traffic value and 3.3M+ sessions.
Inside the Book
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Technical Toolkit
Technologies and concepts I leverage daily.
Certifications
Continuous learning in data analytics, AI engineering, business analysis and ERP systems.