Professional Experience
Senior Machine Learning Engineer
Faculty AI
June 2022 - Present
Senior Machine Learning Engineer within the Retail & Consumer Unit, my responsibilities include:
Managing the engineering delivery of multiple bespoke machine learning applications for a wide range of clients
Develop internal products to improve client application delivery
Managing a team of Machine Learning Engineers
Analytics & Engineering Director
PHD Global Media
May 2021 - June 2022
Global analytics & interim engineering lead for the data team at PHD Global. My responsibilities included:
Developing & managing data science & machine learning products for media insight on Volkswagen
Data & Analytics innovation across the Volkswagen Group
Management of a large team of cross-account analysts, data scientists & engineers.
My notable achievements include:
Leading data transformation for both PHD and Volkswagen by building, deploying and rolling-out the central data lake for all buying platforms [AWS: S3, Fargate, ECR, Step Functions, Redshift, Glue]
Developed & deployed OMG's second second-ever machine learning application to forecast all Media KPI's, across all markets and granulairities from media investment data. [Sklearn, Tensorflow, XGBoost, Prophet]
Associate Analytics Director
PHD Global Media
Nov 2019 - May 2021
The co-lead for Advanced Analytics & Data Infrastructure communities within the PHD Data, Measurement & Analytics team and the day to day data lead for the Volkswagen account, my responsibilities include:
Promoting and developing a data culture within the business
Developing new data & machine learning products for the business
Managing the rollout of a 2.0 data architecture on AWS for all clients
Managing the data team of analysts, developers and data scientists on the VW account
My notable achievements included:
Developing a dynamic forecasting tool for media KPIs using media plans (XGBoost: Python)
Developing a parquet-only data lake for low-cost querying and machine learning (Python)
Senior Data Analyst
PHD Global Media
Jul 2018 - Nov 2019
The lead on advanced analytics and infrastructure projects within the account data team, working with one of the world's largest advertisers, Volkswagen. My key responsibilities include:
Creating and promoting bespoke analysis and insight
Architecting the Data Warehouse & Data Lake on AWS
Management of a team of analysts and developers
My notable achievements included:
Brand analysis, showing the impact of media spend on market share (Regression: R)
Campaign forecasting (Poisson Regression: R)
Report showing the impact of conquesting of media campaigns on car interest (ggplot2: R)
Development of log level data warehouse with 30+bn rows (Python, AWS Redshift, AWS EC2)
Development of API data pipelines for the business to use across clients (Python, Git)
Data Analyst
Rapha Racing Limited
Apr 2016 - Jul 2018
Working for a global luxury cycling fashion brand, a Marketing Data Analyst sat across the Digital Marketing and Business Insights teams. My responsibilities included:
Marketing reporting and insightCustomer insight and model developmentCustomer segmentationQuantitative & qualitative research
My notable achievements included:
Managing annual customer survey to inform and steer on marketing strategy
Driving the automated integration of marketing data sources in SQL Server
Development of multi-channel & campaign marketing reports in Power BI
Development of time-series forecasting in R
Development of RFM & Customer engagement segmentation models
Enriching the Single Customer View in SQL Server
Driving the business methodology for all customer segmentation
Data Analyst
G3G
Dec 2014 - Mar 2016
Working as part of the global shared services team, my responsibilities included:
Marketing reporting
CRM management
Marketing campaign design & execution
Website re-design & implementation
Notable achievements included:
Development of marketing data strategy
Implementation of Hubspot CRM
Analysis of marketing data to steer strategy and website redesign
Additional Projects
Athena
Stock Trading Application
Apr 2021 - Present
Athena is an automated stock trading application that uses machine learning to make trading decisions.
Hosted on my private local cloud, the application collects and analyses price and sentiment data to understand price movements, manage my portfolio and make unsupervised trading decisions. [Kubernetes, MinIO, Redis, Docker, Python, Spark, TensorFlow, XGBoost]
Education & Qualifications
Both short courses covered the required techniques and methodology for PHD students to conduct statistical analysis as part of their medical research thesis.
Course contents covered techniques to assess statistical significance, correlation and inference across most types of analysis as well as comprehensive techniques for conducting different types of regression.
Introduction to Regression
UCL (Short Course)
2016
Statistics & Research Methodology
UCL (Short Course)
2015
Both short courses covered the required techniques and methodology for PHD students to conduct statistical analysis as part of their medical research thesis.
Course contents covered techniques to assess statistical significance, correlation and inference across most types of analysis as well as comprehensive techniques for conducting different types of regression.
International Business, MSc
University of Nottingham
2013 - 2014
The course covered subjects such as international marketing, international market entries, technology entrepreneurship, international accounting, economics, organisational management and quantitative research. My elected specialisation looked at creativity in business with a focus on international tech start-ups.
My dissertation focused on the requirements for tech start-ups to successfully internationalise
History, BA
University of Nottingham
2010 - 2013
A detailed tour of both British and World History covering the British Empire, Russia, Japan, Austria and a focus on German Weimar history.
The dissertation focused on exploring the economic and political impact Fordism had on the Weimar Republic and its economy.