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@tomharrison
Quantitative full-stack developer specializing in data analytics and trading.
I am a quantitative full-stack developer with over 8 years of experience in senior data-centric roles, specializing in large-scale dataset management and analytics. My passion lies in leveraging cutting-edge technologies to build data-driven solutions that enhance decision-making and operational efficiency, particularly within the financial services sector.
Currently, as a Data Analytics Lead at VIPR Solutions, I have successfully built scalable data pipelines with Snowflake, driving a 40% improvement in global market penetration. My previous role as a Lead BI Engineer saw me architecting an end-to-end analytics solution that won the Best Investment Advice Analytics Implementation at the EU InsureTech Awards 2022. I thrive in dynamic environments and am adept at delivering automated data solutions that meet tight business deadlines.
With a recent MSc in Computer Science and a strong foundation in machine learning and advanced data processing techniques, I am committed to continuous learning and applying my skills to solve complex challenges. I am self-motivated, personable, and confident in my ability to engage with diverse stakeholders, from C-suite executives to junior colleagues.
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Work history, roles, and key accomplishments
VIPR Solutions
Jul 2023 - Present (2 years 4 months)
Leading data analytics initiatives by building scalable data pipelines with Snowflake, applying advanced data analysis techniques, and ensuring SOC2 compliance. Achieved a 40% improvement in global market penetration through predictive analytics.
WiseTech Global
Mar 2017 - Aug 2021 (4 years 5 months)
Established flagship BI reporting environment, designed high-performance ETL pipelines, and enhanced data accessibility for global teams, resulting in a 15% productivity improvement.
WiseTech Global
Aug 2016 - Mar 2017 (7 months)
Automated data processes for remuneration management and rolled out employee share schemes post-IPO, improving global budget efficiency.
Redmayne-Bentley
Apr 2015 - Jul 2016 (1 year 3 months)
Developed data pipelines to streamline portfolio analytics, significantly reducing lead-to-client time by 30%.
Degrees, certifications, and relevant coursework
Master of Science, Computer Science
2021 - 2023
Recently completed an MSc in Computer Science and Artificial Intelligence, mastering machine learning pipelines and advanced data processing and visualisation techniques to solve complex prediction challenges.
Bachelor of Science, Economics
Completed a BSc in Economics, focusing on quantitative analysis and economic theory.
Diploma, Finance
Achieved a Level 4 Diploma, enhancing knowledge in financial services and investment principles.
Software and tools used professionally
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