Summary

I studied at UCL from 2018-2019, where I graduated with Distinction from a MSc in Computational Statistics and Machine Learning.

Courses

Taught Courses

I studied the following courses, where I averaged ~85% overall.

• Supervised Learning
• Statistical Models and Data Analysis
• Statistical Natural Language Processing
• Advanced Deep Learning and Reintorcement Learning, taught by Google Deepmind
• Machine Vision
• Affective Computing and Human-Robot lnteraction
• Applied Machine Learning
• Probabilistic and Unsupervised Learning, a PhD module taught by the UCL Gatsby unit
• MSc Project

MSc Project

I completed my MSc Project in the area of Natural Language Programming (NLP). Specifically I was investigating methods of “aspect-based sentiment analysis”, understanding sentiments towards key topics and aspects within a sentence.

My methodology built on top of state-of-the-art deep learning models, specifically Google BERT variants, using the Huggingface Transformers library.

I completed this project during a 4 month internship with a scale-up tech company, Streetbees, where I was a Research Machine Learning Scientist as a part of their research team. This research was integrated into their company codebase and used in production.