Research Analyst & Developer specialized in transforming complex datasets into actionable intelligence. My work sits at the intersection of Machine Learning, Financial Engineering, and Data Automation.
"Curiosity drives discovery."
- Machine Learning & CV: YOLOv8 Object Detection, PyTorch, Multi-stage Clustering, Cloud Vision API Benchmarking (AWS, Azure, Google).
- Financial Engineering: Portfolio Transaction Logs, Batch Backtesting Frameworks, Indicator Analysis (TomDemark), Market Cap Screeners.
- Data Engineering: Modular Data Pipelines, REST API Aggregation (SERP, Alpha Vantage), Automated Data Updates, NAS Integration.
- Tools: Python, PowerBI, Google Colab, Jira, Confluence.
- Global Brand Discovery Architecture: Designed a multi-stage clustering and human-in-the-loop validation system for global brand identification.
- Investment Research Automation: Implemented modular data pipelines and automated update processes that significantly reduced manual errors and increased efficiency.
- Computer Vision Benchmarking: Conducted extensive benchmarking between leading Cloud Vision APIs and open-source solutions for production-ready object detection.
- Technical Leadership: Authored internal guides and tutorials on LLMs, Deep Learning, and Cluster Analysis to foster team collaboration and reproducibility.
- UK House Price Index: A self-serving Python dashboard to visualise UK house price index by geography and time period.
- Datapopy: Python API wrapper designed to streamline data extraction from data.police.uk.
- London Data Store: Module to search, filter, and extract data from the London Data Store.
- More Socrata: Enhanced Python client for the Socrata Open Data API.
"Currently focused on scaling investment research platforms and deepening AI/ML integration for predictive analytics."