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Edd Webster
Manchester, United Kingdom
I am an experienced Data Analyst, with strong quantitative skills and experience of solving complex business problems through Data Analytics and Machine Learning. MSci (Hons) in Chemistry from Queen Mary University of London. My professional interests include: Data Science, Football Analytics, FinTech, and Applied AI. If you would like to find out more, please visit: • Website: eddwebster.com • GitHub: github.com/eddwebster • Tableau: public.tableau.com/profile/edd.webster • Blog: eddwebster.com/blog Technical Skills: • Programming languages – Proficient: Python (and key libraries: PySpark, pandas, NumPy, matplotlib, Seaborn, Plotly, scikit-learn, SciPy, XGBoost, CatBoost, BeautifulSoup, recordlinkage), SQL, Git, HTML, CSS. Familiar with: R, VBA, JavaScript. • Databases: Google BigQuery, MySQL, Microsoft SQL Server; • Data visualisation and dashboarding – Tableau, Microsoft PowerBI, Google Data Studio, Microsoft Excel. • Big data tools – Databricks, Spark. • Cloud services and data pipeline management tools – Azure Data Factory and DevOps, Google Cloud Platform (GCP). • Other: Git, Docker, Jupyter Notebooks, Microsoft Office including Excel. Theoretical Background: • Machine learning: Linear Regression, Logistic Regression, Decision Trees, SVM, Naive Bayes, KNN, K-Means, Random Forest, PCA, Factor Analysis, Gradient Boosting; • Mathematics: Probability and Statistics, Linear Algebra, Single and Multivariable Calculus, PCA.
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List your work history, including any contracts or internships
City Football Group Full-time
Apr 2020 - Jun 2021 (1 year 2 months)
Data & Insights Analyst
FIS Full-time
Oct 2019 - Mar 2020 (5 months)
MI & Insight Analyst - Financial Operations
Main Responsibilities and Duties
• Responsible for tackling a diverse range of data-driven problems using SQL, advanced Excel, and Tableau. Driving actionable business insights through the definition and automation of standardised KPIs for customer Financial Operations data – adding significant value and directly impacting the P&L.
• Conducting ad-hoc data analysis upon request, reporting and presenting findings to key stakeholders of varying levels and technical ability.
• Aggregating data from multiple sources and building data models to improve automated reporting and business cases.
Skills:
• High-level of technical ability, including: SQL, Tableau, and Microsoft Excel.
• Strong engagement, communication and stakeholder management skills when working collaboratively in a team.
• Excellent presentation skills when discussing data and its trends.
• Proactive with a positive attitude, comfortable taking ownership of projects to deliver high-quality output.
• Responsible for tackling a diverse range of data-driven problems using SQL, advanced Excel, and Tableau. Driving actionable business insights through the definition and automation of standardised KPIs for customer Financial Operations data – adding significant value and directly impacting the P&L.
• Conducting ad-hoc data analysis upon request, reporting and presenting findings to key stakeholders of varying levels and technical ability.
• Aggregating data from multiple sources and building data models to improve automated reporting and business cases.
Skills:
• High-level of technical ability, including: SQL, Tableau, and Microsoft Excel.
• Strong engagement, communication and stakeholder management skills when working collaboratively in a team.
• Excellent presentation skills when discussing data and its trends.
• Proactive with a positive attitude, comfortable taking ownership of projects to deliver high-quality output.
This section lets you add any degrees or diplomas you have earned.
Queen Mary, U. of London
Master of Chemistry (MSci), Chemistry
Jan 2012 - Jan 2016
MSci Degree: Chemistry (2012–2016)
Degree Classification – Upper second-class honours
Key modules studied: Chemistry MSci Research Project, Advanced Biological Chemistry, Advanced Topics in Inorganic Chemistry, Advanced Physical Chemistry, Professional Skills for Chemists.
Final year research project, titled: 'The molecular dynamics study of the lever arm in regulated myosin'. This molecular dynamics study used computational techniques to determine the flexibility of the lever arm of molluscan myosin, both in the presence and absence of a calcium ion at the calcium-binding site. This was achieved using a command-line, molecular dynamics package - GROMACS. The project was very strong with an overall grade of 72%.
Degree Classification – Upper second-class honours
Key modules studied: Chemistry MSci Research Project, Advanced Biological Chemistry, Advanced Topics in Inorganic Chemistry, Advanced Physical Chemistry, Professional Skills for Chemists.
Final year research project, titled: 'The molecular dynamics study of the lever arm in regulated myosin'. This molecular dynamics study used computational techniques to determine the flexibility of the lever arm of molluscan myosin, both in the presence and absence of a calcium ion at the calcium-binding site. This was achieved using a command-line, molecular dynamics package - GROMACS. The project was very strong with an overall grade of 72%.