MSc Data Science graduate passionate about transforming raw data into meaningful insights — currently levelling up through a Data Analyst internship at a US AI startup.
I recently completed my MSc in Data Science and I'm currently gaining hands-on experience as a Data Analyst Intern at a US-based AI startup, where I work on data cleaning, processing, and visualization.
I'm passionate about the full data lifecycle — from wrangling messy datasets to building dashboards that drive real decisions. I believe data is only valuable when it's understood, so I focus as much on clear communication as on technical execution.
Based in Horsham, United Kingdom, actively looking to grow my career in the UK data industry and bring analytical thinking to teams that value it.
Built and compared three deep learning architectures (LSTM, GRU, CNN) to forecast blood glucose levels 30 minutes ahead using 647,858 CGM readings from 200 patients. GRU achieved the best performance with an R² of 0.9450 and MAE of 13.80 mg/dL across a full pipeline from EDA to model evaluation.
Analysed 15 years of air transport data across 230 countries using World Bank data, covering freight volume, passenger traffic, and logistics infrastructure quality. Identified dominant freight nations, applied K-Means clustering to reveal 4 country profiles, and deployed an interactive Streamlit dashboard.
Analysed transactional pizza restaurant data across 4 relational tables (Orders, Order Details, Pizzas, Pizza Types) using SQL joins, aggregates, and queries. Uncovered sales trends, top-performing categories, customer ordering behaviour, and revenue performance — delivered in a presentation-ready report.
Built an interactive Excel dashboard analysing 149,116 transactions across 3 NYC locations. Identified that 9–10 AM is the peak sales window, Barista Espresso is the top product, and Hell's Kitchen leads in revenue. Dashboard features dynamic slicers, pivot tables, and conditional formatting for real-time filtering.
I'm currently open to new data analyst roles in the UK. If you're looking for someone to help your team make sense of data, let's talk.