About Me
About Me
I am a recent MSc Computational Applied Mathematics
graduate from the University of Edinburgh with a
diverse technical skill set. I am always eager to
tackle challenging problems and I have a passion for
continuous learning and collaboration.
I have extensive experience working on Data
Science, Software Development and Machine Learning
(ML) projects, both in industry and in academia. At
the moment I am training to be a software developer
as part of _nology's tech consulting programme.
Technical Skills
I have accumulated experience in a wide variety of programming languages and frameworks over the years. These include:
Python
TensorFlow
PyTorch
PostgreSQL
C#
Git
HTML
SCSS
JavaScript
My Projects
Full Stack Development
Mortgage Default Risk Classifier
Website that lets users interact with a ML mortgage default risk classification model. I developed ML model and full-stack development.
Front-end Development
Block Breaker Game
A space-themed block breaker game built with TypeScript, HTML5 Canvas, and SCSS. This game features animated explosions, multiple block types, levels, and retro-futuristic visuals.
Python
ML Regression Models for Dementia Risk
One of many group projects I worked on in my MSc.
GitHub Repository
Python
Modelling Chaotic Dynamical Systems with Neural Networks
MSc Dissertation
Python
Leveraging Natural Lanuage Processing (NLP) for HR Recruitment
This project leverages NLP techniques to automate and enhance the candidate filtering process for an HR recruitment agency.
GitHub Repository
Python
ML Models for predicting Bank Term-Deposit Subscription
The primary motivation is to assist a company specializing in telemarketing for term-deposit subscriptions by providing data-driven insights and predictive models that can enhance targeting and overall campaign performance.
GitHub RepositoryEducation
-
MSc Computational Applied Mathematics
The University of Edinburgh
Distinction (4.0 GPA equivalent) -
BSc Physics
The University of Edinburgh
1st (4.0 GPA equivalent)
Winner of the Neil Arnott Prize for Highest Degree Classification in the year -
International Baccalaureate Programme
St Stephen's International School Rome
42/45 (Top 5.5% worldwide)
Received Top Score of 7 in Mathematics, Physics and English Literature
Work
-
Tech Consultant (June 2025 -)
_nology
-
Data Science Intern (Jan 2025 - June
2025)
Warmur Technologies
-
AI Residency (Jan 2025 - May 2025)
Apziva