π I'm passionate about using the power of Data and Machine Learning to solve problems and make a positive difference in the world.
π οΈ From working on many projects across diverse domains, I've developed my practical skills in handling real-world data, uncovering valuable insights, and building impactful AI solutions.
π€ From my academic background, and personal curiosity, I have a strong technical understanding of the maths and stats underpinning much of AI & ML.
Although not working in the field professionally, I have a particular interest in the field of Sign Language Processing (SLP) when it comes to side projects.
Itβs very unique from a technical point of view, as it combines the latest developments in both Computer Vision and NLP, which I find fascinating. Also, I feel a personal connection to the field, as my parents are Deaf and I grew up using British Sign Language.
π§ββοΈπ§ββοΈ AI Sign Language Translation for Brazilian Healthcare - Omdena Challenge [2025]
I was Project Manager & Lead ML Engineer for the development of a Pose Estimation to LSTM Model Sign Language classifier with Omdena, a platform for social-impact AI solutions.
- Github Repo: [SaoPauloBrazilChapter_BrazilianSignLanguage](https://github.com/OmdenaAI/SaoPauloBrazilChapter_BrazilianSignLanguage
- Web Application: Link
- Report Page: Link
To continue honing my skills after completing the Data Science course at Le Wagon Tokyo, I developed a CNN Deep Learning model that can classify 28 different ASL signs with 89% test accuracy.
- Github Repo: asl-classifier
- Web Application: Offline
Created a tool to assist writing piano melodies by modelling Mozart music with RNN's in a team of 3. The capstone project for the Le Wagon Tokyo DS course.
- Github Repo: mini-mozart-project
- Web Application: Offline
Got familiar with GeoJSON data and GeoPandas by analysing the London Fire Brigades incident response times across the 32 London boroughs from 2010 to 2021.
- Github Repo: london-fires
- Analysis Report: Slides on portfolio page
Used web scraping and called API's to source data for my frequently visited cinemas in Tokyo & Saitama, and created an interactive web app with Streamlit.
- Github Repo: cinema-times
- Web App: Offline