I design and implement custom data intelligence systems that help business leaders eliminate operational bottlenecks, protect profit margins, and maximize asset utilization.

Rather than just reporting historical data, I translate complex data pipelines into interactive frameworks that guide strategic corporate decisions.

• The Problem: Retailers growing top-line volume while leaking bottom-line profit due to unoptimized unit economics and slow-moving stock.
• The Solution: Custom inventory-velocity and product-rationalization engines that isolate low-margin SKUs and optimize regional warehouse distribution.

• The Problem: Capacity bottlenecks, inefficient staffing ratios, and missed service levels (SLAs) inflating organizational overhead.
• The Solution: Performance and resource-allocation models that streamline workflow velocity and align operational capacity with real-time demand.

• The Problem: Unidentified customer churn eroding predictable recurring revenue streams.
• The Solution: Early-warning churn signaling pipelines and predictive segmentation models to protect predictable top-line revenue.

• Data Architecture & Processing: SQL (PostgreSQL, MySQL), Python (Pandas, NumPy)
• Business Intelligence & Modeling: Power BI, DAX, Advanced Star-Schema Data Modeling
• Frameworks & Methodologies: CRISP-DM, Operational Unit Economics, Cohort Analysis

👇 Explore the production-ready systems below to see how I translate raw data into operational ROI:

1. FMCG Retail Analytics — Margin Leakage & Inventory Velocity Optimization Engine.
2. Healthcare Operations — Hospital Capacity Tracking & Patient Stay Optimization System.
3. IT Helpdesk Performance — SLA Compliance & Resource Allocation Dashboard.
4. Subscription Churn Prediction — Machine Learning Pipeline for Revenue Protection.

I partner with mid-sized enterprises, logistics networks, and retail distributors looking to optimize their operational workflows.

• Email: brendentinashe@gmail.com
• LinkedIn: LinkedIn
• Availability: Open for contract consulting engagements, dashboard refactoring, and data infrastructure design.