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Data Analyst with 10+ years in Python, SQL & Machine Learning
Data Scientist with 4+ years' experience building and testing machine learning pipelines, developing reproducible modelling workflows, and delivering analytical insights that influence product and operational decisions. Strong hands-on background in Python, SQL, feature engineering, and statistical inference, with experience working on large, messy datasets across multi-system environments. Skilled at designing end-to-end ML components, advising on experiment design, and communicating results clearly to technical and non-technical stakeholders. Now seeking a role where I can contribute to applied data science initiatives, build scalable pipelines, and support data-driven product development. Experience working with operational, behavioural, and multi-system datasets to support product and business decision-making.
London South Bank University
Diploma · Computer Science
N/A – June 30, 2004
University of Portsmouth
MSc · Data Analytics
N/A – June 30, 2025
London South Bank University
BSc · Computer Science
N/A – June 30, 2006
Dukes Education
Senior Data Analyst
January 1, 2022 – December 31, 2025
London, England, United Kingdom
Independent Schools Council (ISC)
Senior Technical Research Analyst
January 1, 2021 – December 31, 2022
London, England, United Kingdom
Pairview
Data Analyst / Scientist
January 1, 2016 – December 31, 2020
Winchester, England, United Kingdom
Boots Pharmacy, CPAU, Groundwork Thames, CCH Express
Customer Care, Admin, and IT Support roles
January 1, 2000 – December 31, 2016
London, England, United Kingdom
End-to-End ML Pipeline for Behaviour Prediction & Statistical Evaluation
June 19, 2026 – Present
Built an end-to-end machine learning pipeline to identify behavioural patterns and early-risk indicators using large, multi-source datasets. Engineered features, iterated through multiple model variants, and implemented reproducible training and evaluation workflows in Python. Applied statistical techniques to validate model performance and quantify uncertainty. Delivered insights that informed operational decisions and improved planning accuracy.
Python Certification
Intellipaat
January 1, 2021 – Present
Data Science Certification
Intellipaat
January 1, 2019 – Present
R Certification
Intellipaat
January 1, 2018 – Present
Microsoft Certified Technology Specialist, MCTS
Microsoft
January 1, 2012 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning educational institutions and client projects, shows adaptability. Their experience in roles like 'Senior Data Analyst' and 'Senior Technical Research Analyst' aligns well with a senior Data Analyst target role. The breadth of skills, including ML, data engineering, and statistical inference, indicates a versatile profile. However, the career history shows a significant gap (2000-2016) in non-technical roles, which might require further exploration regarding their career trajectory and motivation for the current target role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through identifying data quality issues and implementing fixes. Their experience in cross-functional collaboration with operations and finance teams, as well as advising product teams, indicates good teamwork and communication. The focus on 'pragmatic execution' suggests a results-oriented and efficient work attitude. The ability to translate complex findings into clear recommendations highlights strong communication and stakeholder management.