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Data Architect
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Department for Business and Trade
Data Scientist
June 27, 2026 – Present
mini-python-course
October 20, 2022 – January 27, 2023
Public repository for content and coursework material for module CSC8641 - Big Data Analytics
View Projectcsc8101-coursework
January 26, 2022 – March 3, 2023
csc8101-coursework — GitHub repository
View Projectstudent-posters-2020
August 14, 2020 – September 24, 2020
A showcase of Turing projects across multiple student cohorts and research themes.
View Projectcongestion18tynewear
February 13, 2020 – February 18, 2020
Flow traffic data for several congestion events occurring in the region of Tyne and Wear in the year of 2018.
View Projectanpr-cli
June 20, 2019 – January 15, 2020
A CLI for pre-processing and analysing batches of ANPR data
View Projectpydummy
August 24, 2018 – September 7, 2018
A dummy template to get you started on your python project
View Projectanprx
August 22, 2018 – January 9, 2020
Traffic analysis using Automatic Number Plate Recognition (ANPR) cameras.
View Projectmaestro
February 16, 2018 – December 8, 2022
Orchestrate groups of software-ready instances on the cloud
View Projectanpr-mssql-client
October 19, 2017 – December 8, 2022
A CLI for querying the ANPR SQL-Server Database
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, showing initiative in learning and applying data science concepts. The current role as a Data Scientist at the Department for Business and Trade aligns with the target role. However, the experience level is listed as 0, which contradicts the current employment, suggesting a potential data discrepancy or very recent entry into the role. The project diversity is good, covering data analysis, scripting, and some web technologies, but lacks explicit team collaboration or large-scale system contributions. The technologies used are relevant to data science, but the breadth of tools for a senior role is not fully evident from the project list alone.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.