ElizaSixtyFour

Data Science Solutions

About Us

ElizaSixtyFour is a tech driven company that provides data science solutions to help organisations leverage a competitive data-driven advantage.

By using innovative machine learning and SaaS software, ElizaSixtyFour helps organisations to extract accurate, clean and useful data from existing business processes to provide greater levels of insight and value to help maximise business potential and improve efficiency.

Recognise

Uncover valuable data-driven insights from your images with our innovative image recognition software.

Our planogram image recognition tool, Recognise, allows automated compliance checking of retail fixtures from a photo.

Recognise compares a photograph to the the planogram assigned to a fixture, then analyses the photo to identify which products are on shelf. By comparing what is identified to what should be on the planogram, our tool instantly identifies out of stock products and compliance discrepancies, which enables merchandising and replenishment of stock to be efficient and accurate.

We have worked with our partners, Dee Set, to integrate our technology into their merchandising systems, helping them to boost merchandising compliance, increase product availability and increase efficiency.

By using our API it is possible to integrate the power of planogram recognition technology into your own business so your internal teams can unlock the data you require.

Case Study - Greetings Cards

Consultancy Services

We provide Data Science Consultancy Services, covering knowledge transfer, ad-hoc pieces of work and bespoke solutions.

Our areas of experties include:

Machine Learning

We design and train machine learning models for classification and predictive analytics, including deep convolution neural networks for image analysis

Dataset Modelling

We can model large datasets to gain insight and make data driven business reccomendations

Data Engineering

We can help you build data pipelines and manage the data that you already have. At ElizaSixtyFour we have the expertise to unlock the full potential of your data.

Get in Touch

Here at ElizaSixtyFour we are experts at data science consultancy.

Using machine learning and SaaS software, we unlock the value of data.

If you have any unmet data requirements, please e-mail us:

hello@elizasixtyfour.com

The Team

We are a team of Data Scientists and DevOps Engineers who specialise in helping companies make the most out of their data.

We work mainly in Python to build and train machine learning models, carry out dataset modelling, and deploy our solutions.


Greg has a background in retail, having previously worked as a Sales Director and led a multi-site food retail business.
As a long suffering Newcastle United fan, Greg enjoys football and boxing though has recently hung up his own boots and gloves for the more civilised pursuits of cycling and golf.
Greg Philips

CEO

David previously worked for Stagecoach as their Chief Technical Officer for the UK and North American divisions, responsible for their global technology strategy focusing heavily on business technology and modernisation.
In his spare time David is an avid golfer, however if you can’t find him on the Green you will find him fueling his passion for travel and exploring a new cities.
David Pugh

CIO

Having previously worked as a research ethologist, Josiah has been able to apply his experties in data science to the understanding of consumer behaviour. He specialises in using machine learning to extract insight and meaning from unstructured image data.
Outside of work he enjoys climbing hills.
Josiah Halstead

Chief Data Scientist

Phil Barton is a Linux Systems expert and senior Developer specialising in APIs, Machine Learning and IOT.
You'll find him building and developing with Raspberry Pi or Arduino in his spare time, when he's not cycling down mountains or kayaking in the local lakes.
Phil Barton

Senior DevOps

With a decade of experience in retail analytics, Chris brings a deep understanding of every step of the retail supply chain. He enjoys learning about new methods in Data Science, and applying using them to find solutions to problems.
He can be found relaxing in Llandudno most weekends throughout the year.
Chris Taaffe

Data Scientist

Having completed a Major in Business Analytics with focus on Machine Learning, Teja is enthusiastic about solving problems using Data Science. He loves to apply his data capabilities on the most pressing business issues to help improve efficiency.
He can be found playing tennis on most weekends, so let him know if you want to play a game if you are in or around Stockport.
Teja Gali

Junior Data Scientist

Denis is a recent graduate of The University of Manchester, obtaining Master’s degree in Physics with Astrophysics. Prior to joining the ElizaSixtyFour team, he worked on a project which used neural networks to automate the targeting of radiotherapy treatments in hospitals, which was his introduction to the world of data science and machine learning.
Outside of work he have a keen interest in astronomy, music and his beloved Northampton Town FC, who he watches every Saturday.
Denis Page

Junior Data Scientist

Work for Us

We are always interested in hearing from technically minded Data Scientists and Machine Learning Engineers.

If you are interested in what we do, please send your CV to jobs@elizasixtyfour.com