About me
Data Analyst with 5+ years experience, visualising data for non-technical audiences using SQL and Python.
Work history
Commercial Operations AnalystPaddle
London, United KingdomFull Time
Categorised leads into four monthly revenue buckets, trained and deployed a XGBoost Gradient Boosting model as an API endpoint with 74% accuracy, ensuring sales team resources were being spent on valuable and relevant leads.
Rebuilt lead conversion model based on historical movement through sales pipeline, increasing accuracy of our quarterly won business projections by $400,000.
Developed end-to-end data pipeline for customer success data, using Zendesk and Kustomer REST APIs to fetch data in Python script deployed to AWS Lambda, pulling into MySQL database where it could be visualized in Periscope dashboard.
Worked with marketing team to develop events reporting, deploying JavaScript scripts in Google Tag Manager to track website events, increasing visibility over Account Based Marketing campaigns and allowing development of marketing attribution models.
C
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Reporting AnalystCashplus
- London, United KingdomFull Time
Maintenance of B2B and B2C reporting, including ownership of monthly cross-departmental business insights report to be sent to the board of directors.
Automated processes using SQL, Visual Studio and Python. Led on project transferring internal reporting from email and Excel based solutions to Power BI dashboards.
Creation of stored procedures to speed up the B2B customer onboarding process.
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Skills
- SQL
- Python
- AWS
- Machine Learning
- Data Visualisation
- Data Analysis
- Agile
Education
BSc Psychology 2.1University of Portsmouth
- Portsmouth, United Kingdom