Using unstructued data, train and deploy neural nets to predict productivity. Mentor junior data scientists. Advise on project strategy
Deliver an internal analytics tool using Python and Plot.ly Dash. The tool has a broad scope covering multiple regions, scales and business lines. I re-designed the app for scalability, maintainability and performance whilst increasing functionality, and provided a flexible foundation for new features to be developed after I left the project. Challenges included building custom visualizations, refactoring legacy code, and processing large data sets efficiently.
Design, create and maintain internal data tools for a fin-tech startup. As the only data specialist, I delivered tools to provide business insights including; management information, fraud analysis, tax reporting, KPI tracking, regulatory compliance, marketing and growth. I also delivered sentiment analysis of key social media channels.
I worked with stakeholders across the business including back-end, founders, customer support, finance, DevOps (CI/CD) and growth teams.
Tools included: Python, Bokeh, Google Cloud Platform (BigQuery, DataStore, Data Studio), PostgreSQL.
2017-09: Anaheim Consulting
Deliver the technical design and execution of a novel cryptographic crowd-funding method. Whilst working with a tech startup as a financial accountant, I worked with stakeholders and external developers to design, test and execute an initial coin offering (ICO). I aslo led investor relations throughout the funding round and provided book-keeping services.
2014-04: PwC Assurance - Banking & Capital Markets
Deliver the ETL pipeline, analysis and visualization of large financial datasets including financial journals and loan books. As a chartered accountant and external financial auditor of clients in banking and capital markets in London (HSBC, Barclays, Lloyds, BNP Paribas) I facilitated the transfer of data from client systems before transforming and loading them into our on-prem SQL environments. We recalculated clients' financial statements and mined the data for additional value-add insights.