Rotational degree apprenticeship program with a specialism in Data Science across the corporate and retail bank.

Rotations within Core Data Science, Corporate Financial Crime Analytics and Quantitative Risk

Projects involved in include:

• Chatbot Optimisation using Natural Language Processing in Python to improve customer satisfaction and identify where agents/chatbots can improve responses.
• Mortgage Churn Model using Python and Plotly Dash to help improve customer retention by predicting customers who are likely to default on their mortgage.
• Entity Resolution using Python to replace outdated companies data within the bank data lake using API calls and Data Engineering, presenting the project to a director within the bank.
• BBB Reporting using SQL to create ETL scripts to automate the invoicing reports to the British Business Bank for COVID business loans. This replaced the slow manual reporting tools by processing 150,000 contract accruals daily, generating £28M revenue in 2020.
• Credit Risk using SAS to develop capital (economic + regulatory) models for the corporate bank.

Managing the development of the Suneeta London website www.suneetalondon.co.uk and the respective CBD website www.suneetacbd.co.uk, whilst ensuring that we complied with legislation for the CBD website.

Attending a variety of events and acting on the companies behalf, most notable collaboration was being invited to the HQ of ASOS.