Data Engineer | Data Analyst | AI Enthusiast | Advanced Soft Skills | Passionate About Supporting Non-Profits Through Data
📧 Email: [email protected]
🔗 LinkedIn: (https://www.linkedin.com/in/barnaby-rumbold/)
📊 Data Engineering: Creating ETL pipelines on and off the cloud.
🔄 Performance: Optimized SQL queries with CTEs, window functions, and stored procedures.
🤒 Predictive Analytics: Created a Logistic Regression App in Python using Scikit-Learn and Streamlit to predict outpatient attendance**
🏥 Healthcare Insights: Providing strategic analysis using SQL, Power BI, Python, and Excel.
📢 Stakeholder Engagement: Presenting insights clearly and professionally to ensure high-quality product delivery.
📈 Data Visualization: Created interactive dashboards for NHS executives using Power BI & SQL.
🗪 Experienced & Trained Manager: - Led a small clinical team, provided training and management supervision, and completed the NHS Excellent Manager Programme.
🎓 Teaching & Supervision: Led lectures and provided clinical and academic supervision to students.
Python (OOP, Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, Streamlit)
SQL (Query Optimization, Stored Procedures, Data Pipelines, Window Functions)
Microsoft Azure (DP-900 Certified, Azure Fundamentals)
ETL Pipelines, Web Scraping, Data Modelling
Power BI (Dashboards, DAX, Business Reporting)
Matplotlib, Plotly, Seaborn, Streamlit for Data Visualization
🎓 Level 6 Apprenticeship AI Engineer – CambridgeSpark (Pending)
🎓 Health Sciences Modelling Associate Programme 6 – University of Exeter (Pass)
🎓 Data Engineering Boot Camp – QA (Pass)
🎓 MSc Cognitive Behavioural Psychotherapy – University of Salford (2018, Distinction)
🎓 BSc Mental Health Nursing – University of Manchester (2015, 2:1)
🎓 MA Sociology – University of Manchester (2011, Merit)
🎓 BA Sociology – University of York (2010, 2:1)
Developed an analytics app for mindfulness research using Python, Streamlit, Matplotlib, NLP.
Assisted a Ugandan healthcare provider with resource allocation analytics.
Evaluated performance metrics for a science-promotion non-profit using Google Cloud & Python.
Geographical analysis for a literacy charity in Mozambique using Matplotlib & Plotly.
An NHS England Data Engineering project scraping A+E attendance data and ingesting in Microsoft Fabric
An app looking at CKD prevalence in England in the last 3 years using NHS data
An NHS England Data Engineering project scraping A+E attendance data and ingesting in Microsoft Fabric
A Microsoft Azure data ingestion and processing pipeline
Predicting patient appointment attendance based on demographic data
📧 Email: [email protected]
🌍 GitHub: BarnabyRumbold
💼 LinkedIn: Your LinkedIn Profile