1. Structured Foundations
I start with clean architecture: layered data pipelines, controlled transformations, and explicit modeling decisions.
Data Analytics & Decision Support
SQL · Power BI · Data Warehousing · KPI Engineering
Turning structured data into reliable, decision-ready business insights that reduce uncertainty.
I help organizations structure data and analytics workflows to deliver clear, reliable and actionable decision support.
My approach combines robust SQL engineering, structured data modeling, KPI design and reproducible analytical workflows to ensure consistency and decision reliability.
I focus on building technically sound foundations, clean schemas, validated transformations, scalable queries, before exposing insights through clear reporting layers.
I typically step in when data becomes fragmented, unclear, or underutilized, and structure it into measurable decision frameworks.
Technical rigor first. Reliable decisions second.
From architecture to reporting layers, every step is designed to support consistent and explainable decisions.
I start with clean architecture: layered data pipelines, controlled transformations, and explicit modeling decisions.
KPIs are engineered, not improvised. Window functions, segmentation logic, and time-series analysis are designed for reliability.
Dashboards and reporting layers are built on validated data models to ensure consistency and scalability.
Data warehousing, KPI design, dashboards and structured reporting focused on clarity and decision support.
Analytical work in computer vision and structured experimentation.
Core skills built through practical projects, with a focus on clarity, reliability and decision support. Available for short-term analytical missions, structured data projects, and KPI framework implementation.
Analytics, KPI engineering, BI dashboards and data reliability.
Exploration, cleaning, KPI definitions, ad-hoc analysis and actionable summaries.
Decision-friendly dashboards with clear KPI storytelling and formatting.
Structuring, checks, consistency, light automation and clean exports.
Decision-friendly dashboards with clear KPI storytelling and formatting.
Machine learning and computer vision experiments.
Model experimentation, evaluation and structured iteration processes.
Computer vision workflows: preprocessing, segmentation and structured comparisons.
Open to short-term collaborations focused on analytics, visualization and data reliability.
Rapid understanding of existing datasets and identification of inconsistencies or improvement areas.
Clear dashboards (Excel / Power BI) designed for readability and decision support.
Simplification of repetitive tasks and data process improvements when relevant.
If you are looking to structure, audit, or strengthen your analytics foundations, feel free to reach out.