Helped run the analyst training program for new Q&T analysts, covering fundamentals such as portfolio management and the Markowitz Model, Python and Git.

Presented to the Technology Team where I talked about numerous portfolio optimization methods and their respective advantages and disadvantages. Some of these methods include Mean-Variance Optimization, Black-Litterman model and Monte-Carlo simulation.

Wrote a short article titled 'Exploring the Rise of Nvidia and the Possibility of a Generative AI Bubble', discussing Nvidia’s surge in the financial markets in late February 2024, while also drawing comparisons to the dot-com bubble of the late 1990s.

Developed a PyTorch deep learning model capable of conducting various mathematical functions on a dataset of 150,000+ random-sized time series, producing an output vector containing the results of these functions, achieving a cosine similarity score of 0.95+.

Conducted a heuristic review on Hurtigruten's booking flow, which lead to changes in the company's website, improving the conversion rate. I also learnt about the product development cycle, as well as different agile methodologies like Scrum and Kanban.

Worked alongside lab technicians and teachers multiple times a week to plan lessons for KS3 students in the science department. Furthermore, I helped set up and assisted experiments which allowed me to gain a more in-depth understanding of the experimental process.