Experienced in data related projects from inception, idea validation through to execution and sustainable implementation. Deliver tangible business outcomes by bringing clarity to data, challenging assumptions and working directly with all stakeholders. Working in a diverse range of industries with safety critical applications means being highly capable, comfortable with uncertainty and an experienced innovator.

Supported the Net Zero Technology Centre's (NZTC) Offshore Energy Digital Architecture (OEDA) programme through evaluating existing implementations, best practices and recommendations from the wider Energy sector, designing an open source implementation, adapting Palantir Technologies's Foundry for the same purpose and evaluating potential business models to support such deployments. Primary author of five industry reports, presenter at a number of workshops, webinars and direct engagement with consortium members/stakeholders.

Application of Data Science, Machine Learnig and AI tools to support data understanding, exploitation and use. Enabling end-to-end "Intelligent Automation".

Champion Data Science within KBRS UK to support, mentor and guide colleagues across the business (Engineering, Sales, HR etc) on the adoption and practice of Data Science. UK representative for Digital technical activities in the wider Knorr-Bremse Group.Established the Data Science capability from basic tools to the use of a Machine Learning pipelines, Kubernetes cluster, recruitment, provision of training and thought leadership both locally (UK) and internationally. Application of Data Science to identify and action potential £Xm in end user benefit from the analysis of Internet-of-Things (IoT) devices in the field, directly and with the effective use of third parties.Technical lead for the digitalisation of products and services, working closely across business functions to meet the needs of the Rail industry. Application of Data Science using a variety of tools supporting different aspects of the corporate strategy from Jupyter and Python development locally and within a Kubernetes environment to Qlik, Snowflake and Azure Databricks.Focus on end-to-end delivery from data capture, data engineering, processing, analysing and providing an output whether its an API endpoint or visualisation. Experienced in managing and maintaining a Kubernetes environment, workload orchestration, Machine Learning pipelines and containerised applications.Support the recruitment process by interviewing candidates for data related positions within the company both locally in the UK and across the Group worldwide.

Utilising service data to conduct feasibility studies in optimising maintenance for a number of engine programmes with a view to influencing the business in capturing the right data, at the right time in the right quantity. Application of Data Analytics to extract and process data from legacy formats and systems and Machine Learning to construct models to predict desirable system level parameters from component input data. Used experience of the product life cycle to proactively identify data-driven opportunities and influence team.Responsible for the aerodynamic assessments of in-service military engine compressors with regards to proposed modifications, addressing non-conformance & safety related assessments. Delegated authority on specific queries on TP400 compressor.

Aerodynamic assessments for a number of compressors covering product development to in-service issues. Engaged multiple disciplines to implement patent-pending cost reduction activity incorporated into Global corporate best practice. Constructed novel component measurement dashboard to enable data-driven decision making through the application of Data Science.

Technical leadership of a group of functional system engineers of varying experience levels. Articulated the project’s requirements as a set of Work Instructions which specified the scope, time-scales and funding for each activity. Utilised programme management best practice to monitor progress, communicate with seniors on expected task progression and predict resource load signals. Responsible for adding fidelity to high-level programme level plans covering 6-10 people over 3 years. Used Risk Management to identify significant technical mitigations and negotiated their inclusion into the overall plan.Rolls-Royce contact for all functional related queries with international partners, regular engagement with key stakeholders and delivered technically challenging work packages. Worked closely with the Capability Lead (responsible for resource management) to maximise the performance of the team through coaching and utilising tasks to meet development needs. Deputised for the Chief Functional Engineering at management meetings, Safety Review boards, risk reviews and project technical reviews.

Characterised a range of engine instabilities (Operability) for the Joint Strike Fighter (JSF) LiftFan based on models, rig and propulsion system testing. Represented company in trans-national cross functional team. Mitigated key risks by proposing, supporting and analysing propulsion system testing in US. Briefed outcomes at Director level.

Aerothermal Engineer working on engine / intake compatibility support of Rolls-Royce engine for Gulfstream's Low Boom Experimental Vehicle (LBEV) a proposed Supersonic Business Jet (SSBJ).

Aerodynamicist assessing intake/engine compatibility issues for a number of products including Joint Strike Fighter (JSF) LiftFan, the MT30 for both the Literal Combat Ship (LCS) and the DD(X) currently referred to as Zumwalt-class destoyers.

Undertook a series of 10-12 week placements within different functions within Rolls-Royce to gain a broad understanding of what different areas of the business did.