A Bit About Me
I am driven by a love for solving problems and exploring the vast world of technology. This passion guided me to pursue a degree in Chemical Engineering, where I discovered the impact data has on both businesses and the world at large.
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My journey led me to the dynamic field of data consulting at KPMG UK, where I honed my skills and tackled diverse industry challenges. This experience fuelled my desire for continuous growth and led me to join KPMG Australia, expanding my horizons across different geographies and industries.
My experience has led me to a unique combination of deep technical ability alongside robust stakeholder management and team leadership skills. As a professional dedicated to helping clients overcome business hurdles, I leverage the power of data, innovation, and automation.
Explore my portfolio to view the projects I have completed, and the value I bring to organisations through problem-solving and technological solutions.
Professional Skillset
Data Analysis
Data Story Telling
Machine Learning
Programming (Python, R, SQL)
Data Visualisation (Power BI, Tableau, Excel)
Stakeholder Interaction & Management
Database Design
Workshop & Innovation Lead
Big Data (Azure Synapse, Azure Data Factory)
Experience
2022 - Present
Senior Consultant
KPMG Australia
Sydney, Australia
Focussed on technical delivery through numerous projects which utilised Azure Data Factory and T-SQL, along with technical and forensic analysis. Taking on more independent and managerial roles, guiding and supporting junior analysts to complete project deliverables.
2020 - 2022
Consultant
KPMG UK
London, United Kingdom
Provided consulting services to clients on various data topics, from developing company-wide data strategies to providing technical support as part of a client's data science team. Owing to strong performance, successfully finished the UK graduate scheme ahead of the planned timeline and transition to a Senior Consultant role at KPMG Australia.
2016 - 2016
Optimisation Analyst
First Quantum Minerals
Kansanshi, Zambia
Utilised Python and Matlab to conduct an optimisation project for the downstream processing of a copper mine. The findings of the analysis were used to identify the best size and location for a new processing unit. Ultimately guiding the Executive's decision to increase their investment to $3 million to purchase two smaller units at two separate locations.
Education
2014 - 2019
Newcastle University
Masters of Chemical Engineering Hons 1st
Newcastle, United Kingdom
University was the platform that took me from a basic understanding of data to an in-depth appreciation of its power to shape businesses and industries. Learning about the principles of engineering processes, and delving into programming languages such as Matlab and Python to get the knowledge required to take on data-driven problems. Gaining a practical knowledge of using data to tackle complex challenges. This knowledge has become the foundation of my work in data, where I strive to deliver real-world solutions to my client's needs.