A small selection of recent projects
Kind words from satisfied customers
Highly resourceful, self motivated Data Analyst / Engineer supporting several enterprise wide ARTs. James continually produced more, and then reviews requirements to refocus customer needs and expectations to move solutions forward, sometimes by many months, He has a wide understanding of data contruct, engineers automated and AI solutions still withing the SafeAgile framework. An asset any data driven solution.
Pete MonteiroInfrastructure Migration Manager at FedExJames is a data analysis expert, able to understand complex business organisational processes, structures, and systems. James is able to identify user requirements, locate and interrogate data sources before combining this information into easy-to-understand dashboards and other pleasing on the eye visualisations. James is proficient in PowerBi and has a very good understanding of AI and how it can be harnessed.... Check out my LinkedIn for more.
Bobby GreenSenior Change Analyst and Process Specialist at FedExI've had the pleasure of working alongside James Robins at FedEx, where he has been instrumental as a Data Specialist. James' deep expertise in data management, IT support, and process analysis, combined with his proficiency in tools like Python, Microsoft Power BI, and Excel, makes him an outstanding professional. His innovative approach to data architecture, visualization, and artificial intelligence has greatly enhanced our team's efficiency and effectiveness..... Check out my LinkedIn for more.
Robert BrightlingProject/Process Analyst and Python Developer at FedExI had the pleasure of working closely with James at FedEx, where he played a pivotal role as a Data Specialist in developing a Power BI platform that significantly enhanced our data utilization. His technical expertise in Power BI and data analytics was exceptional, designing and implementing a user-friendly platform that catered to all levels within the organization. James's innovative approach transformed raw data into actionable insights, driving strategic initiatives forward. What sets James apart is his meticulous attention to detail, commitment to excellence, and outstanding communication skills..... Check out my LinkedIn for more.
Ian McPhillipsPrinciple IC at FedEx at FedExJames Robins is an outstanding Power BI developer and data professional who has made significant contributions to our team over the past three years. He consistently demonstrates exceptional technical skills, innovative problem-solving, and a strong commitment to high-quality solutions. James excels in data modeling, DAX calculations, and creating visually compelling dashboards, transforming complex data into actionable insights that drive our organization's decisions. This year, James's role as Product Owner within the BENZ ART Data Team highlighted his ability to develop a system for total cost to serve calculations across our infrastructure estate..... Check out my LinkedIn for more.
Gina HolmesManager of Change & Release at FedExJames is a hard-working professional with a keen eye for detail. We've worked on a data modeling project together in which he showcased dedication and skill. He's never shy of sharing his knowledge to help his peers grow. I highly recommend him to anyone looking for help on their data modeling team.
Ronny PetitjeanSr. IT Financial Analyst at FedEx Express
My work experience
My approach
Planning & Strategy
In the initiation and planning phase, the project scope, objectives, and deliverables are clearly defined to align with business goals. Stakeholders are engaged early on to gather their requirements, and a comprehensive project plan is developed, covering timelines, resources, and budget. Potential risks are identified, and mitigation strategies are formulated. An iteration plan is also outlined to set expectations for regular feedback sessions, ensuring that continual value is delivered through iterative work cycles and customer feedback loops.
Data Collection & Preparation
During data collection and preparation, relevant data is gathered from various sources, emphasizing quality and relevance. The data is then cleaned to remove inconsistencies and integrated into a unified dataset. Initial exploratory analysis is performed to understand data patterns, which informs future iterations. Throughout this phase, regular feedback sessions with stakeholders help refine data requirements and ensure the project remains aligned with customer needs, creating a dynamic feedback loop that drives continual value.
Analysis & Modeling
Relevant features are selected and created to enhance the model. Various models are developed and tested, and initial findings are presented to stakeholders for feedback. This iterative process allows for model refinement based on stakeholder input. Models are validated with separate datasets to ensure accuracy, and all methodologies and assumptions are documented. Continuous communication with customers during this phase ensures that their feedback is incorporated, enabling iterative improvements and maintaining the project's alignment with business objectives.
Deployment & Monitoring
Implementation of the models in a production environment and continuously monitoring their performance. Regular feedback from users is collected to identify areas for improvement, enabeling iterative enhancements. Performance data is used to make necessary adjustments, ensuring the models continue to deliver value. Transparent reporting through dashboards and reports keeps stakeholders informed of results and insights. This ongoing cycle of feedback and iteration ensures that the project evolves to meet customer needs and maintain its effectiveness over time.