JHB Municipal Infrastructure Intelligence
Municipal analytics case study tracking pothole and water leak incidents across Johannesburg wards — built around SLA compliance, hotspot detection, and operational KPI reporting.
This portfolio shows how I work as a Product Intelligence Analyst: starting with the question, understanding the context, and turning data into something a team can actually use.
I'm Kabelo. I work as a Product Intelligence Analyst, using data to help teams make clearer product and business decisions. The work here is built around real questions, stakeholder context, and usable outputs rather than reporting for its own sake.
My work often sits between analytics, product thinking, and commercial analysis. I do my best work when analysis helps a team understand what is happening, why it matters, and what to do next.
My CV covers the formal timeline, but this portfolio shows more than that. I built it to reflect growth, range, and the way my thinking has developed across different kinds of work. My career has not followed one simple straight line, and this body of work is a better reflection of how I learn, adapt, and build toward the kind of analyst I'm becoming.
Selected case files showing how I approach product questions, commercial trade-offs, KPI design, and decision support.
Municipal analytics case study tracking pothole and water leak incidents across Johannesburg wards — built around SLA compliance, hotspot detection, and operational KPI reporting.
Turned estate planning into a WhatsApp-based product concept, combining discovery, market analysis, revenue thinking, and end-to-end solution design.
Designed a state-based workflow for multi-location service teams, with KPI logic and reporting built around day-to-day operations.
Education analytics case study focused on learner engagement, performance trends, and actionable LMS insights.
Commerce analytics case study turning synthetic e-commerce events, orders, and returns into practical product, conversion, and returns-risk intelligence.
Retail product analytics case study using synthetic Bash-shaped commerce data to surface funnel friction, fulfillment impact, and returns-led commercial risk.
Fintech product analytics case study using synthetic Capitec-shaped banking data to read activation, product depth, retention, and trust-failure pressure.
EdTech product analytics case study using synthetic cohort data to read retention curves, sprint drop-off, assignment pressure, and learner completion risk.
Professional data science programme focused on practical analytical delivery.
Economics-led business training with grounding in Investment Management, financial management, and Business Management. That foundation still shapes how I approach commercial analysis, KPI logic, and decision-making today.
Ongoing technical development in data science and analytical depth.
For formal experience history, role detail, and full chronology.