I am a Data Scientist skilled in Python, R, and SQL, passionate about deriving insights from data. Currently based in Barcelona, I have extensive experience in hedge funds and electronic trading roles in London, where I worked on demanding, time-sensitive software projects using Python and SQL. I am graduating in July 2024 from the Barcelona School of Economics with a master's degree in Data Science for Decision Making.
My GitHub portfolio showcases a wide range of data science projects, both solo and collaborative, demonstrating expertise across Machine Learning, Natural Language Processing, Data Visualization, and Deep Learning.
I am actively seeking new a data-focused role and I am eager to apply the cutting-edge skills honed during my degree, coupled with my extensive work experience in Fintech, to tackle your data challenges.
- π Location: London, UK
- π Education:
- MSc in Data Science for Decision Making, Barcelona School of Economics (2023-2024)
- BEng in Mechanical Engineering, Trinity College Dublin (2011-2015)
- π Professional Experience:
- Trading Support Engineer at Caxton Associates (2019-2023)
- Technical Project Manager at Traiana (2016-2019)
- Programming Languages & Libraries:
- Database Technologies:
- Cloud Computing:
- Data Visualisation:
- Development Tools & Environments:
- Large Language Models (LLM):
- BERT
- OPENAI API
Used state-of-the-art large language models to build a cacophony index for the European Central Bank (ECB). Objective was to measure the discordance of ECB Governors, as perceived by the media, against official ECB communications.
Summary of Findings
- First Contribution to Research: Application of advanced LLMs to a novel dataset comprising media coverage on central banking. Sentiment analysis was applied to 30,000 media articles from July 2022 to March 2024 using a fine-tuned RoBERTa model, with 78% of the articles classified as "hawkish".
- Second Contribution to Research: Analysis of the dataset after applying LLMs. An interquartile range (IQR) approach was used to measure the diversity of opinions among ECB Governing Council members. The National Bank Governor from Germany was consistently seen as the most hawkish, whereas Southern European governors from Portugal, Greece, Italy, and Spain were more dovish.
Explore my repositories below for a detailed look at my work, where each project comes with a README that details the objectives, techniques used, and insights uncovered.
- India Used Car Price Predictor
- NLP CEO CFO Sentiment Analysis
- ICU Length Of Stay
- Music Store SQL
- WWII Aerial Bombing Operations
- Youth Player Football Position Predictor
I'm open to discussions and collaborations on data science, financial technology, or any related fields.
- π Mobile: +44 7834208795
- π§ Email: [email protected]
- π« Connect: LinkedIn Profile
- π CV: View my CV here