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
Reliable KPIs and dashboards built on solid SQL foundations.
I help teams turn complex data into reliable KPIs and decision-ready reporting.
My approach combines strong SQL engineering, structured data modeling, KPI design, and reproducible analytical workflows.
I focus on building technically sound foundations: clean schemas, validated transformations, and scalable queries, before exposing insights through clear reporting layers.
Foundations first. Business impact second.
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.
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.
Interested in discussions around data projects, analysis and practical data applications, I am open to conversations and collaborations.