London Area, United Kingdom
- Collaborated with clients to translate their complex challenges into clear technical requirements and implemented AI-powered solutions for 7 enterprise clients that enhanced revenue, reporting, decision-making and user experience. - Led Agile development teams through iterative discovery and delivery sprint cycles to ensure progress and alignment with technical requirements and client needs. - Collaborated with Project Managers, Product Owners and SMEs to support the digital transformation and strategic direction of a multinational investment bank and presented project progress through interactive demos to senior stakeholders. - Delivered documentation, workshops and training to clients, partners and junior consultants on best practices, application design and architecture. - Supported the Product team by communicating customer feedback and identifying opportunities for product enhancements.
- Managed the end-to-end development lifecycle for multiple enterprise projects. - Developed features and API integrations with key systems and third-party vendors, such as ElasticSearch and Microsoft Office 365. - Preserved the operational integrity of live applications by managing the CI/CD pipelines, troubleshooting and debugging issues, and communicating impacts to stakeholders and end-users.
Developed ML models with MATLAB and Python to analyze non-performing loan portfolios, using statistical algorithms including linear regression and correlation analysis, to guide credit decisions.
- Improved data accuracy and quality for investment strategy models by collaborating with senior data engineers to clean and preprocess financial datasets. - Identified technical bottlenecks and improved business processes by analyzing large datasets and patterns using Python and SQL