🎓 2nd year BSc Data Science student at UCL
🤖 Passionate about machine learning, optimization algorithms, and nature-inspired algorithms
🌱 Exploring NLP (Numind-related) and advanced Markov chain modelling
🍞 Outside of stats and coding, I enjoy baking, playing badminton, and walking with my 🐐

• 🏸 TSP Modelling for Badminton Footwork
  Optimized badminton footwork using Simulated Annealing, Ant Colony Optimization, and Concorde solver.

• 🏥 Hospital Information Scraper & Data Wrangling
  Automated data collection with Selenium + BeautifulSoup, and processed 10k+ hospital stats using pandas.

• 🌲 Anomaly Detection with Random Forests
  Built a machine learning pipeline for identifying outliers in structured datasets.

• 🛰️ CanSat Competition (ESA)
  Designed, built, and deployed a mini-satellite with onboard sensors in collaboration with the European Space Agency.

• 🌍 Charity Database (MySQL)
  Designed and implemented a relational database for tracking NGO projects and progress towards the UN SDGs.

• 📰 NLP Article Data Extraction
  Built pipelines using HuggingFace and NuExtract for extracting structured insights from unstructured articles.

• Advanced NLP pipelines (Numind, HuggingFace)
• Probabilistic modelling & Markov processes

Strange, it is a huge nothing that we fear - Seamus Heaney
All models are wrong, some are useful - George Box
I don't know anything, but I do know that everything is interesting if you go into it deeply enough - Richard Feynman \