Predictive Maintenance

Using IoT and data analytics to predict and prevent breakdowns can reduce overall downtime by 50%. [McKinsey].

Fuel-level & trade optimisation

Generating £10k profit for NEAS Energy’s ATS team

Engineer Job Trial

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.

Algorithmic trading bot

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

Wrap notes automation

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.

HH short-term forecasting

Real-time optimization & Balancing using Smart Meters

Call Analysis Deep Dive

Understanding how to reduce OPEX with our call centres

Twitter Dashboard

I built a Twitter Dashboard to monitor tweets related to our Hive products