About
I am a Data Scientist, Data Engineer, and Developer working at the intersection of analytics, machine learning, and software engineering. My day-to-day involves building data pipelines, developing predictive models, and creating dashboards that turn raw data into actionable insight.
I have a strong interest in end-to-end data workflows: from raw ingestion and transformation through to model deployment and visualization. I work primarily with Python for data science and engineering, Power BI and Microsoft Fabric for business intelligence, and TypeScript for web development.
Outside of work, I maintain a Linux-based development environment, contribute to open-source tooling, and write about the topics I explore on this blog.
Current Focus
- Time series forecasting and demand planning models
- Building scalable ETL pipelines with modern orchestration
- Microsoft Fabric adoption and Power BI semantic modeling
- Technical writing and knowledge sharing