Note: Established between 2010 to 2025, spanning 15 years of work, and ranking within the top 1% globally on GitHub, this profile highlights past technical projects, coding work, and experimentation in data analytics, automation, and system development. It serves as an archive of building efficient, data driven solutions and creating practical innovation through code.

This page represents a technical foundation, though some repositories and functions may reflect earlier versions of code that are no longer active or maintained. Its purpose is to preserve the evolution of ideas and experimentation as part of an ongoing pursuit of learning and problem solving.

This repository collection represents a diverse portfolio of data analytics, automation, and system development projects, documenting the practical application of coding, design, and data architecture principles used to build systems that enhance performance, scalability, and business intelligence.

While not all repositories remain functional or up to date, many having been intentionally removed or reorganized, they collectively reflect a period of growth capturing the process of learning through experimentation, refining problem solving methods, and advancing technical capability that continues today.

Data driven professional with a strong foundation in analytics, automation, and scalable system design. Focused on transforming complex data into clear, actionable insights that improve decision making, optimize performance, and drive innovation across teams and organizations.

Experienced in data automation, reporting, and integration, building efficient workflows and solutions that ensure accuracy, consistency, and accessibility. Passionate about problem solving, process optimization, and turning data into meaningful intelligence that supports strategic growth and continuous improvement.

🔭 Focus: Data automation, process optimization, and reporting initiatives
🌱 Exploration: Cloud based data solutions and advanced analytics for business performance
💡 Curiosity: Uncovering meaningful insights and simplifying complex data systems
🎯 Goal: Building scalable solutions that turn data into actionable intelligence

• Data Analytics: Power BI (DAX, Power Query M), Tableau (LOD Expressions), and MicroStrategy (SQL based modeling)
• Business Intelligence: KPI frameworks, data modeling, semantic layers, and reporting architecture
• Data Operations: ETL pipeline development, process automation, and workflow orchestration and integration
• Cloud Infrastructure: Microsoft Azure (Data Factory, Synapse, Data Lake), Databricks, and Google BigQuery

✨ Building data systems that automate the world ahead ✨