Strategic data/AI specialist with deep consulting, private equity and start-up experience, across consumer, energy and financial services• Experienced in approaching a wide variety of business problems, with specialism in pricing and commercial data• Leadership and advisory experience, including leading software and data teams and working with non-technical senior stakeholders to support them in better understanding the technology and associated opportunities and risks for their business• Experienced in designing and developing data, analytics and machine learning solutions across the full spectrum of data. From raw data right through to model deployment and web-based user applicationsRecent projects:• Developed an AI lead sourcing platform, which surfaces prioritised leads via a bespoke user interface – Private Equity cliento Automated business profiling in the user interface through aggregation and visualisation of data (including Salesforce, DueDil, web scraping, etc.)o Eight-fold increase in the proportion of relevant leads found versus traditional search methods o >90% reduction in internal resource requirement for reviewing leads• Led the software team which handles the navigation stack (from sensors to behaviour), computer vision and user interfaces – Robotics start-upo Oversaw design and development cycles across work-streamso Ensured software architecture balanced short-term prototype development and longer-term production requirements, and necessary trade-offs were understood by senior teamo Reviewed and recommended best practices to establish (documentation, code reviews, testing)• Led and advised the development team of a financial crime automation solution – UK Banko Reduced case preparation time by over 90%Capabilities:• Data and analytics strategy• Data engineering and architecture• Machine learning and data science• User interfaces• Organisational (analytics operating models, roadmaps and service catalogues, processes and methodology, training)Technical skills:• Machine Learning and AI: Python, Azure ML, OpenAI API, Azure Doc Intelligence, LangChain• Data Engineering: Azure (Fabric, Data Factory, Functions), Snowflake• MLOPS/DevOps: MLFlow, Azure ML/DevOps, Blobs, AWS S3, Git• Databases: SQL, Postgres• UI/Web: Flask, Django, Javascript/JQuery, HTML, CSS, PySimpleGUI, Selenium• Data Visualisation: PowerBIPrior clients include: Red Bull, Unilever, Diageo, Sainsbury’s, Gatwick Airport, Thames Water, Scottish Power, SEA UK Bank, Private Equity client, Robotics start-up, Deloitte, Baringa Partners