Jordan Phillips Email & Phone Number

Melbourne, Victoria, Australia

Newcastle, New South Wales, Australia

✔Assisting the development and engineering teams for predictive maintenance software at GistLens.✔ Using data science, deep learning and advanced analytics techniques to predict equipment failure, giving maintenance teams time to respond before experiencing unplanned downtime.✔ Building analysis models using vibration, acoustic, infrared data and other sensor data

Newcastle, New South Wales, Australia

✔ Brought direct sales consultants into the 21st century through a video-enabled e-commerce sales platform.✔ Incorporated multi-user video conferencing, secure payments, and real time analytic tracking into one intuitive application.✔ Supported small businesses and sole traders by providing them with the tools to increase sales and stand out from the pack.

✔ Launched a solar panel sales platform that empowers customers to make informed choices when looking into green energy.✔ Seamlessly integrated a Machine Learning and Artificial Intelligence software solution into client websites that analyses aerial images to give customers an accurate quote for solar panel installation.✔ Provided a stable and easy solution that works 24/7, and one that aligns with our values of clean, renewable energy.

Newcastle, New South Wales, Australia

✔ Development of Hone Create, the machine learning platform able to take raw data and accurately perform regression and classification analysis on the data.✔ Research and development of algorithms and analysis techniques used to predict the chemical concentration of samples from spectroscopic data.✔ Delivery of a market-ready platform, and creation of a strong core team capable of continuing the development into the future.✔ Development of a machine learning platform able to… Show more ✔ Development of Hone Create, the machine learning platform able to take raw data and accurately perform regression and classification analysis on the data.✔ Research and development of algorithms and analysis techniques used to predict the chemical concentration of samples from spectroscopic data.✔ Delivery of a market-ready platform, and creation of a strong core team capable of continuing the development into the future.✔ Development of a machine learning platform able to consistently beat predictions made by industry benchmark techniques. Show less

✔ Implementation of automated processes that streamlined the backend production pipeline.✔ Saved the development team 30+ minutes every time they wanted to deploy content to their website.✔ Improved website functionality for both the development team and users.