Using IoT and data analytics to predict and prevent breakdowns can reduce overall downtime by 50%. [McKinsey].
Generating £10k profit for NEAS Energy’s ATS team
Productionisation of an end-to-end machine learning model built using Azure ML and Databricks, reducing allocated engineer job times by 15%, saving £2million per annum, driving efficiencies and cost savings.
I built a algorthmic trading bot that places optimal trades with virtual money. It taught me many important coding lesssons and broadened my understanding of economic concepts
Led two junior data scientists on a Net Zero Strategy project, developed an automation tool providing cost savings of £200k per annum. Delivered key recommendations and insights to Director and senior leadership.
Real-time optimization & Balancing using Smart Meters
Understanding how to reduce OPEX with our call centres
I built a Twitter Dashboard to monitor tweets related to our Hive products