- 🎓 Final Year BSc. Politics and Data Science student at London School of Economics and Political Science
- 📊 Research assistant at LSE Data Science Institute
- 💼 Intern data science consultant at The Tecsa Group
- 💬 Programming languages:
- Python (advanced)
- R (advanced)
- TypeScript (beginner)
- SQL (SQLite, PostgreSQL)
- ChatLSE: Developing an LLM chat bot for LSE using Retrieval-Augmented Generation (RAG)
- Discordia: Exploring the potential use of Large Language Models (LLMs) in predicting and explaining Parliamentary dissent
- FPL-Moneyball: Model to optimise team construction in Fantasy Premier League
- Looking for internship/graduate programme in data science, AI, and software development
- LightGBM model to evalaute sales uplift generated by the loyalty program of a top global sportswear brand
- Models for targeted promotional campaigns for a major homeware retailers
- XGBoost model that optimises maintenance efforts by estimating the probability of outages and risk of failure of electric circuits
- Created a reusable codebase capable of automatically performing RFM segmentation and related operations on retail transaction data
- LSE Data Science Society project: Using machine learning algorithm to predict the probability of social unrest
- LSE Data for Data Science Module Final Project: Using machine learning algorithm to predict the outcome of NBA Most Valuable Player (MVP) award