I like to challenge myself and push boundaries! I am a driven and innovative problem solver with over two years of data science, data engineering and AI experience in the financial industry, specialising in process improvement and operational efficiency through advanced data science and machine learning techniques. I leverage high-performing computational methods to deliver impactful, data-driven solutions. I am passionate about eliminating repetitive manual processes, driving transformation and growth through the use of modern technology. I am committed to enhancing business operations with robust, scalable systems and seamless data integration.
I also like to design and develop web applications, and I am always looking for new opportunities to learn and grow. I am currently enhancing my skills in integrating generative AI language models into web applications incorporating various technologies, cloud services and APIs.
Just Group Plc
Jan 2024 - Present
Responsible for driving the transformation of our DB business by developing high-quality, bespoke applications and data solutions. I design and implement data flows, connect operational systems, and help build intuitive user interfaces. By collaborating with various business units, I ensure our solutions meet strategic objectives, optimize ETL processes, and support data streaming systems.
Just Group Plc
Sep 2022 - Dec 2023
Trained as an expert in data science to help support business processes and help scale with technology via an Apprenticeship provider – Cambridge Spark.
Just Group Plc
Jan 2022 - Sep 2022
Responsible for reinsurance reporting, payment management, and data analysis, utilising Python, Julia, and VBA to optimize data validation processes. Key contributor to onboarding buy-ins and buyouts for scheme funding, ensuring GMP equality through B, C1, and C2 methods. Also led initiatives to identify and rectify arrears inefficiencies in entire post-transaction data process.
ExtraClasses
Dec 2018 - Present
Tutoring Mathematics to primary, secondary, A-Level and university students. Simplifying the subject to communicate complex ideas and assist struggling students in topic areas using different approaches.
Cambridge Spark
2022 - 2024
Models: Ensemble methods, Pragmatic model evaluation, Supervised and Unsupervised Learning, Neural Network and Deep learning, Model Explainability and Interpretability, Time Series Analysis, Project Management for AI etc. Project: Built a Random Forest Pricing prediction tool to predict bulk annuity premiums to be reconciled with old pricing processes.
Swansea University
2018 - 2021
Models: Measure Theory, Financial Mathematics, Statistical Analysis, Complex Variables, Game theory and optimisation, Vector spaces, Fourier Analysis, Probability, Computational methods, Algebra etc. Project: ‘Statistical Analysis of COVID-19’ with an emphasis on understanding factors which affected different demographics.
Hazelwick School
2015 - 2017
With a focus on STEM, I was able to develop a strong foundation in these subjects which has been instrumental in my career.
A machine learning project that uses predictive modeling to optimise bulk annuity pricing for DB pension schemes.
A collection of solutions to the Advent of Code 2024 programming puzzles, implemented in Python.