# Chizurum **Data Scientist** — London, United Kingdom > I turn complex data into decisions that matter. I'm a Data Scientist with an MSc in Data Science and an MRes in Computer Science (awarded, subject to minor corrections), backed by a foundation in Business Administration that keeps my work grounded in commercial reality. I don't just build models, I understand the business problem behind them. My background spans healthcare, research, and technology, giving me a perspective most data scientists don't have. I know what it means for a decision to affect a real person, not just a metric. That shapes how I work. I'm drawn to organisations where data has genuine stakes: the NHS, health tech, finance, public services, or fast-moving start-ups where the right insight at the right time changes outcomes. If you're building something that needs rigorous thinking and clear communication of results, that's where I do my best work. Currently open to Data Scientist and Data Analyst roles in London and across the UK and Ireland. Let's connect! Career Archetype: **Launchpad Trailblazer** (HS-MG) — One of the first Launchpad Trailblazers on Saywise ## Links - LinkedIn: https://linkedin.com/in/chizurum-data?utm_source=share_via&utm_content=profile&utm_medium=member_android ## Experience ### Data Scientist, 10Alytics (2025-07 – 2026-01) • Designed and deployed end-to-end data visualisation dashboards in Tableau and Excel, integrating pivot tables and dynamic charts to deliver real-time KPI visibility to senior stakeholders. • Cleaned, standardised, and pre-processed large-scale datasets using Python (Pandas, NumPy) and SQL, achieving a 95% improvement in data quality and reliability for downstream analysis. • Automated recurring analytics workflows with Python scripting, eliminating 10+ hours of manual reporting per week and improving reproducibility across the team. • Developed and optimised SQL queries and stored procedures, reducing high-volume query execution times by 40% and significantly improving database performance. • Built and prototyped machine learning models (Scikit-learn, TensorFlow) to support business forecasting, improving predictive accuracy for operational decision-making. • Coordinated a cross-functional team of data professionals, improving project delivery efficiency by 20% through structured collaboration and deadline management. • Partnered directly with business stakeholders to define KPIs, ensuring analytical outputs aligned with strategic priorities and informed executive decision-making. ### Data Science Training, The Developer Academy (2023-01 – 2023-03) United Kingdom · • Completed end-to-end data science projects covering supervised and unsupervised learning, data visualisation, and model evaluation on real-world datasets. • Built classification and regression models using logistic regression, decision trees, and neural networks in Python and SQL, achieving strong predictive performance benchmarks. ### Data Entry and Research, Student Ambassador, University of Plymouth (2020-11 – 2021-09) City Of Plymouth · • Digitised and structured large volumes of survey data into clean, analysis-ready Excel datasets for the Next Steps Southwest longitudinal research project. • Applied advanced Excel functions (VLOOKUP, pivot tables, conditional formatting) to validate and organise datasets, reducing errors and streamlining reporting workflows. ### Copywriter, Extolcopy (2019-05 – 2020-09) Lagos, Nigeria ### Sales Executive, Skywatch Aviation (2018-11 – 2019-05) Lagos, Nigeria ### Insurance Sales Representative, African Alliance Insurance (2018-06 – 2018-10) Lagos State, Nigeria ## Education ### MRes Computer Science, Middlesex University Thesis: Identifying Early Warning Signs of Burnout Among Care Home and Home Care Assistants Using Digital Technology ### MSc Data Science and Business Analytics, University of Plymouth Modules: Non-Relational Databases in a Big Data Environment Software Development and Databases Big Data and Social Network Visualization Modelling and Analytics for Data Science Operations and Project Management Global Supply Chain Management Dissertation: Monitoring Changes To Cultural Heritage Within Rural Communities Using Social Media Tools ### Bachelor's degree in Business Administration, University of Hertfordshire Go Herts Award: Recipient of the University of Hertfordshire’s Go Herts award for displaying evidence of development of enterprise skills and social responsibility – Gold Standard Achieved ### Diploma of Higher Education in Economics, University of Surrey ## Projects ### Revive: Burnout Prediction Tool for Care Workers (2025-2026) Link: https://github.com/ChizurumNwachukwu/revive-burnout-prediction-tool Built and deployed a live web application that predicts burnout risk in care workers using a decision tree algorithm combining psychometric assessment with biometric data from wearable devices. The tool administers the Oldenburg Burnout Inventory (OLBI) alongside real-time inputs resting heart rate, sleep duration, and daily step count to classify users into 9 burnout risk categories and deliver personalised, evidence-based recommendations. Underpinned by original mixed-methods research with 65+ participants across the UK, including interviews, surveys, and live user testing with care workers and managers from London, Oxford, Leeds, Manchester, Plymouth, and beyond. Key outcomes: Deployed at revive-tool.com. A functional, user-tested prototype 90% of testers rated the tool easy or very easy to use Decision tree approach chosen deliberately for explainability over black-box accuracy Research presented at Middlesex University Postgraduate Research Summer Conference ## Skills Negotiation, Sales, Yonyx Software, Academic Research, Cascading Style Sheets (CSS), HTML, Oldenburg Burnout Inventory, OLBI, WordPress, Decision Trees, Mixed Methods Research, Python (Programming Language), SQL, Machine Learning, Tableau, Pandas (Software), Predictive Modeling, Data Visualization, MS Excel, Neo4j, Amazon Web Services (AWS), Consulting, Natural Language Processing (NLP), VBA Excel, Reporting Requirements, Report Writing, Presentation Skills, Predictive Analytics, Optimization, Customer Data, Communication, Statistics, Scikit-Learn, NumPy, Random Forest, Logistic Regression, Data Science, Microsoft Power BI, R (Programming Language), Microsoft Excel, Data Analysis, R (programming language), Leadership, Sales Letters, White Papers, Web Pages, Case Studies, Marketing Strategy, Business Strategy ## Credentials - **Data Science Bootcamp** — The Developer Academy (issued 2023-01) - **Introduction to Deep Learning in Python** — DataCamp (issued 2022-10) - **Python Data Science Toolbox (Part 1)** — DataCamp (issued 2022-07) - **Intermediate Python** — DataCamp (issued 2022-06) - **Introduction to Python** — DataCamp (issued 2022-01) --- Source: https://saywise.com/hellochizurum (last modified 2026-10-10T10:01:31.004Z)