About
I am an Analytics Engineer with experience in minimising costs and operational disruption for fleet electrification through advanced analytics. My passion lies in creating innovative products and leveraging my engineering expertise to make a tangible environmental impact.
I specialise in building scalable data models and performing data transformation using SQL, Python, and modern stack such as dbt, AWS, and Docker. I am highly cross-functional and adaptable, with experience leading a social enterprise and working in fast-paced startup environments.
In my recent role, I delivered end-to-end analytics solutions for customers, spanning from gathering customer requirements and data harvesting to data transformation and building dashboards for web applications. My key achievements include refactoring 30+ dbt models to eliminate after-hours processing and deploying optimisation models that informed decisions worth up to £2.5M per fleet. I also implemented a data quality framework that combined metadata tracking, validation checks, and source auditing to improve the accuracy, transparency, and reliability of the analytics.
Tech Stack
