Connected IQ harness the power of Machine Learning (Computer Vision & Natural Language Processing) to deeply understand Connected TV videos and provide contextual targeting. We integrate seamlessly with your existing DSP buying, through Direct Deals. As Chief Data Officer I have built and led the team of machine learning engineers and data scientists to fine-tune and optimise our models and video processing pipelines.

SBDS are the next generation DataTech services - empowering businesses to unlock the value of their marketing data assets. Leading a team of Data Scientists, ML Engineers, Analysts & Data Engineers to develop machine learning algorithms, data integrations, client insights on the full marketing stack from in-house data to DSPs, DMPs & CDPs. Working across billions of events daily using the Python Data Science Stack, SQL and NoSQL. Deliverables include:- Building out Natural Language, Computer Vision & Data Engineering Teams from 3 to 14 team members. Growing and leading the team to deliver ML based contextual advertising, with incremental F-Score Improvements and cost efficiencies across all model classes. - Treasure Data CDP Implementations for Multinational Clients including Workflow Orchestration (Presto, Hive & Python), Dashboarding and ML model deployment. Supporting media efficiency and customer insights with first party data.- Relay 42 CDP analysis and data quality reporting and data cleaning to reduce data quality issues- Dashboarding across Google Data Studio & Tableau to monitor and manage ML model performance, advertising campaign performance, business reporting against KPIs & OKRs.- Data Protection Officer over IPO requiring process and documentation oversight. Experience working internally and for bluechip clients within GDPR/CCPA and other frameworks.

iotec are a Demand Side Platform start-up, conducting Real Time Bidding for online advertising. Leading a team of Data Scientists & Engineers to develop machine learning algorithms, performance optimisation of campaigns, data integrations, client insights, internal financial reporting and technical sales. Working across billions of events daily using the Python Data Science Stack, Spark and NoSQL.• Working with the client service team to build a collaborative relationship between our teams and an iterative approach to advertising campaign insights. Reduced reworking of analytics by 80% to deliver more impactful and efficient analysis.• Machine Learning performance optimisation including an award winning campaign for IHG.• Led a cross-department team managing operations of our largest ever campaign. A bespoke reporting system was created to provide daily updates. Cost per app install was improved 20x over the 6-week campaign through feature engineering, model selection and parameter tuning.• Created an ETL process to send data to Metamarkets (analytics dashboard provider) in one week that allowed decommissioning of a system costing £100k’s per year in maintenance• Using Elasticsearch delivered an optimised datastore that returned analysis over millions of ad auctions in realtime. Required experimental design to optimise AWS EC2 instances, cluster settings and query structure. The platform was used to power our first generation insight dashboard.• Revenue uploads and data transfer between our platform and Salesforce; creating financial reports and timely data for invoicing• Technical sales and pre-sales analytics; including consulting on Data Management Platform (DMP) integrations, custom reporting and performance expectations through modelling. Helping to secure additional revenue for larger, more complex projects.

Ipsos MORI are a Market Research company. Implemented a new data processing, analysis and automation framework. After training 25 staff and creating the automation platform, turned attention towards developing our Data Science offering. Developing a clear vision for our efforts to unify the different analytical teams and understanding client needs. Working with analysts, researchers, developers and clients designed analytical platforms using data from a variety of sources (internal, proprietary external, open data and primary research) and selecting the most suitable technology and software stacks.• Data Science & Big Data strategic development. Forming and leading a cross company group.• Data integration. E.g. Designing a system for combining passive measurement, survey research and other data to a single view of media consumption for a syndicated client; allowing for retrieval of results for dashboards or ETL via an API.• Working with internal clients on innovation and new technology. Coordinating tool evaluation, leading vendor discussions, creating requirements for software development teams.• Initial Data Science consultancy for external clients.• Presenting at conferences, all staff meetings and client learning days.• Advocate for open source and cloud based solutions wherever possible: AWS or private clouds when working with sensitive data, Linux, Hortonworks Hadoop stack, Apache Projects such as Hive/Spark/Cassandra, Python, R & D3.js• Automation of data processing and reporting to internal clients• Creating and running training sessions for upskilling existing teams.

Millward Brown are a Market Research subsidiary of Kantar, the information and consultancy division of FTSE 100 listed WPP. Progressed over 7 years to Data Processing Specialist. During this time, I worked in the 3 main UK offices (Warwick, Ealing & Central London). The role principally involved writing electronic surveys to capture market research data and then processing this data into insightful deliverables. Working on projects for various high profile clients I developed and refined my programming and data analysis skills as well as building key soft skills.• Setting up and systems for data capture. Retrieving, processing and combining data from different sources. Primarily advert pre-testing and brand tracking.• Managing and quality control of offshore teams.• Creating actionable data-based outputs that clients and researchers can use to make business decisions and recommendations. Created account level insight reports for a mobile telco’s B2B clients that allowed them to take corrective actions in near real-time.Built an automated system to handle end-to-end data on £4m+ p.a. banking sector account.

Eli Lilly are a global Pharmaceutical company listed in the Fortune 500. Working as part of the Computer-Aided Drug Design Group, evaluated and proposed new compounds for a variety of therapeutic platforms. The role required acquisition of valid data, the application of appropriate analysis and the effective extraction of knowledge.• Identification & definition of problems. How to conduct sound scientific research. Development of problem-solving strategies• Ability to communicate effectively with peers, support staff and senior management• Data Analysis skills including the application of multivariate analysis, dimensionality reduction and clustering