Marc Stamp Email & Phone Number

London, Gb

London, England, United Kingdom

London, United Kingdom

Working with companies to understand what objectives business are required from their data, whilst using statistics, predictive modelling, data visualisation & ML/MLOps.Retail Industry:- ML Engineer focused on the productionalisation, monitoring and model serving of solutions provided by analytics teams.- Producing a Model 'Required Maturity' score system to determine the required tools across for each model needed to ensure conitnued model quality after deployment.Retail Industry:- Analytics Consultant working on providing a holistic relationship between their high street and online activity.- Developing Experimental Small-scale Machine Learning Tools alongside users in Retail Stores and Marketing Teams to help create more organic and user-friendly solutions.- Weekly updating of both predictive models and impact measurement reporting tools.Banking Industry:- Working with 180 Million bank transactions to provide insight into customer spending patterns and develop customer segmentation.Other:- Worked with Cognizant's internal academy & training teams to present workshops to other members of the UK&I Data Science team, with focuses on the newest areas of interest. (i.e. NLP, CV, DL)- Providing Shadowing opportunity for new graduate intakes on Retail Industry Project. Being available to new hires to help with technical support for statistics and data visualisation for projects within a range of industries.

London, United Kingdom

Working with clients to help maximise business value through a greater understanding of their data. Travel Industry - Developing real-time machine learning models connected to cloud-based datasets in Azure Environment. - Applying predictive results into effective visualisation for business users using live online dashboards.Retail Industry- Introducing a relationship between online and In-store data for a large retail company through the use of interactive dashboards. - Using the dashboard output to help create weekly scheduled models to determine best items for potential revenue growth and quantify the financial benefit from assortment changes made in-store.

Meng, Chemical Engineering, 2:1

Activities and Societies: Stu Brew Officer. Stage 3-4 representative for the Chemical Engineering society. Frequent participation.

Education record

GCSEs & A-levels in Maths, Further Maths, Chemistry & Physics