Hello, I'm

Daneena Roy

Problem Solver & Tech Enthusiast

I build systems, analyse data, and write code that makes things work better. Computer Science with AI student at York seeking opportunities to create real solutions to real problems.

About Me

Daneena Roy

I'm Daneena, a Computer Science with AI student at York seeking a placement for summer 2026 to 2027. I'm drawn to roles where I can solve real problems with technology, whether that's building systems, analysing data, or just making things work better than they did before.

My experience covers a broad range: data analysis and visualisation, application development, system deployment, automation, and machine learning when it's the right tool for the job. I enjoy working across the full problem-solving cycle, from understanding what needs fixing to building and deploying the solution. I'm particularly good at translating technical complexity into things that non-technical people can understand, probably from explaining my projects to bemused family members.

When I'm away from the keyboard, I'm usually at the piano, journaling to make sense of everything I'm learning, or exploring whatever fascinating tangent has captured my attention. I'm naturally curious about how things work, which makes me ask a lot of questions and constantly want to learn new approaches. My browser tabs are evidence of someone who can't resist a good rabbit hole.

Continuous Learning

Exploring machine learning, full-stack development, and embedded systems through hands-on projects

Production Experience

Shipped systems used by 50+ users and built comprehensive test suites in professional environment

Collaborative Mindset

Experience working in agile teams and leading organisational initiatives

Featured Projects

Exploring ideas, building solutions, and learning what works (and what spectacularly doesn't)

Live

Nyne - Flood Detection System

Analyses weather data and geography to predict flood zones before they happen. Interactive maps let you explore risk areas, check elevation levels, and understand which locations need attention.

TensorFlowLSTMStreamlitFolium
Code
Live

NeneMinutes - AI Meeting Assistant

Never miss meeting details again. Upload audio, get a full transcript, automatically extracted tasks, and ready-to-send follow-up emails. Your meeting notes, sorted.

WhisperGroqNLPGradioPython
Code
In Progress

NeneCart - Product Recommendation Analyser

Analyses customer purchase patterns to uncover product relationships. Answers questions like "what do people buy with this?" and "which items should we bundle?" using real transaction data.

PythonPandasPlotlyStreamlit

Skills & Technologies

Technical toolkit spanning software development, data analysis, and machine learning

Programming Languages

PythonSQLJavaScriptTypeScriptBash

Data Analysis & Visualisation

PandasNumPyPlotlyFoliumMatplotlibMarket Basket AnalysisStatistical AnalysisData Preprocessing

Machine Learning & AI

WhisperGroq APITensorFlowPyTorchScikit-learnNLPspaCyComputer Vision

Web Development & Deployment

StreamlitGradioNext.jsReactFastAPIRESTful APIsVercel

Databases & Version Control

SQLDatabase DesignGit & GitHubData ModellingQuery Optimisation

Cloud & DevOps

Streamlit CloudHuggingFace SpacesAWSGoogle CloudDockerAPI IntegrationDeployment

Let's Connect

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision