HANNAH HAMID
Hi, I'm Hannah, and data is my medium. I'm a Mathematics and Statistics student, spending my days studying statistical methods and my nights teaching myself Python and R through software development.
Recently, I have been exploring how to use AI responsibly to uncover insights that help people make better decisions. Data science, to me, is about finding the story hidden between the numbers.
Away from the code, I have a love for teaching GCSE Mathematics, which I have been doing since I finished the exams myself. Recently, I worked hard with a student who was struggling on the Higher tier. After moving to Foundation, we worked up from a Grade 2 to a Grade 5. Teaching has taught me that when someone starts enjoying the process, the progress follows naturally.
Take a look around - consider this my way of teaching you what I've been learning.
built by me!
01 PROJECTS
📡 NFC TAGS - TAPPING INTO POSSIBILITIES
In ProgressI was recently inspired by (and I'll shamelessly admit it) a TikTok video to try my hand at writing NFC tags and finding uses for them. I learned that an NFC tag is a tiny sticker (or chip) that can store a small piece of information and share it with your phone when you tap them together.
So, I tasked myself with finding ways to implement NFC tags into my life. My first idea was to put them on the business cards I have been procrastinating the creation of for months.
Below is a preview of the back of my business card. An issue I faced with using an NFC sticker in conjunction with the card was that the NFC sticker couldn't be hidden. So, I've decided to make it a focal point instead. The space is where the sticker will go, once the cards are printed.
🤖 AI BIAS AUDITOR
March 2026I had originally joined the hackathon for the experience, but it seems our team managed to leave with so much more! We had the opportunity to learn vibe coding, the importance of well-trained AI, and how to analyse data using such.
We trained and audited three machine learning models - Logistic Regression, Random Forest, and a fairness-aware model - on real job placement data to see whether we could actually catch algorithmic bias before it caused harm. Using statistical tests, Disparate Impact Ratio, and custom fairness metrics, we found something we didn't expect: one model, built specifically to favour women, still ended up discriminating against them. High accuracy, it turns out, doesn't mean a model is fair.
Partway through, I had a spur-of-the-moment idea: our data was strong, but I wanted something that could reach non-technical judges and audience members too. So with no prior development experience, I built an interactive website from scratch in about 12 hours (out of the 48-hour hackathon) to present our findings in a way anyone could engage with - while the rest of the team focused on the model work and slides.
🌐 THIS WEBSITE
In ProgressI built this website as a personal portfolio, but mainly as a way for me to experiment with vibe coding!
I had the opportunity to learn pieces of HTML, CSS, and JavaScript. But, most importantly, I've learned how to efficiently vibe code (and had fun doing it!)
📝 CONFIDENCE INTERVALS AND HYPOTHESIS TESTING
March 2026As part of my university coursework, I was asked to research and provide an essay about confidence intervals and hypothesis testing. I found that they are fundamental to the framework of statistical reasoning, and helpful in making decisions in the presence of risk and uncertainty.
Figure 1: Confidence interval (blue), null hypothesised value (red)
🎧 RECENTLY LISTENING
🧠 CURRENTLY LEARNING
📚 CURRENTLY READING
- • "How Life Imitates Chess" - Garry Kasparov
- • "The Adventures of Sherlock Holmes" - Sir Arthur Conan Doyle
🐙 GITHUB
02 CV · EDUCATION & SKILLS
EDUCATION
📚 MODULES
📊 SKILLS
DATA POINT GENERATOR
🔮 UPCOMING SKILLS
03 EXPERIENCE & ACHIEVEMENTS
EMPLOYMENT
📋 SHORT COURSES
🏆 ACHIEVEMENTS
