Hello, I'm Ryan 👋

🌟 About Me

I'm a recent applied data science graduate based in London. I'm passionate about data analysis and machine Learning and I'm always eager to learn new technologies and collaborate on projects.

🔭 I’m currently working on creating miniGPT as well as some other analytics/data science projects
🌱 I’m currently getting to grips with large language models as a whole and finetuning them
🤔 I’m looking for help with transitioning over from Windows to macOS
📫 How to reach me: [email protected]
⚡ Fun fact: I'm a semi-competent pianist

🛠️ Skills and Technologies

Languages:            [Python, R]
Databases:            [MySQL, PostgreSQL]
Deployment & CI/CD:   [Azure]
Version Control:      [Git]
Others:               [Tableau, PowerBI]

RD's Projects

amazon-sentiment-analysis-

Using ANN to implement an algorithm able to determine whether a text review is positive or negative.

brain-tumour-image-segmentation

Using a CNN to accurately segment brain tumours.

cv

Here's my CV

extramarital-affairs

A Statistical Analysis of Fair's Extramarital Affairs dataset

house-price-determinants

Analysing house prices in R using the popular Boston Housing Dataset

ir-essays

A collection of IR essays from undergrad years.

macos-website

My portfolio website hosting my data science projects and some IR essays. Adapted from Xiaohan Zou's playground-macos repo.

movie-recommender-system

Using Netflix movie reviews to group customers by their preferences with the ultimate goal of building a movie recommender for users.

painting-with-polygons

Using evolutionary algorithms to recreate the Mona Lisa using polygons

ryan-daley.github.io

Personal website with some bits and bobs on it.

titanic-survival-analysis

Created a machine learning model that will accurately predict who did and who didn't survive the Titanic disaster.

travelling-salesman-problem

Again - another classic, you've gotta love it really.

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