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

Skills

Data Science / ML

Pythonscikit-learnXGBoostpandasNumPyTensorFlowstatsmodels

Data Engineering

SQLApache SparkAirflowdbtETL pipelinesData modeling

Business Intelligence

Power BIMicrosoft FabricDAXPower QuerySSASReport design

Programming

PythonTypeScriptSQLBashGitREST APIs

Infrastructure

LinuxDockerCI/CDAzurePostgreSQLFirebase

Get in Touch

You can find me on GitHub and LinkedIn, or subscribe to the RSS feed for new articles.