Goldman Sachs — Data Analytics Team
Built a Python dashboard that reduced manual reporting time by 65%. Analysed 3M+ transaction records to identify fraud patterns, saving an estimated $400k annually. Presented findings to VP of Risk Management.
Final-year Business & Data Science student passionate about turning messy data into clear decisions. I bridge the gap between analytics and strategy.
Built a Python dashboard that reduced manual reporting time by 65%. Analysed 3M+ transaction records to identify fraud patterns, saving an estimated $400k annually. Presented findings to VP of Risk Management.
Co-authored a paper on sentiment analysis of financial news accepted at EMNLP 2024. Developed a fine-tuned BERT model achieving 91% accuracy. Managed dataset labelling pipeline for 50k samples.
Founded a peer-to-peer note-sharing platform for university students. Grew to 1,200 active users across 4 campuses. Raised $5k in seed funding from the University Entrepreneurship Fund.
State University · GPA 3.9/4.0 · Dean's List (all semesters)
Led a 4-person team to victory out of 240 competing teams from 30 universities.
Completed 8-course specialisation covering SQL, R, Tableau, and data storytelling.
Selected from 120 applicants to receive seed funding for NoteShare startup.
Co-authored peer-reviewed paper on financial sentiment analysis accepted at top-tier NLP conference.