aditi vaishnav

Elected to represent postgraduate taught students in the Faculty of Arts, Law and Social Sciences, advocating for their academic interests and concerns. Serves as a voting member of the Student Representatives' Committee and Student Council.

Coordinated requirements, planning, and delivery across multiple Agile teams for a Fortune 500 Commercial Insurance client. Designed and implemented Generative AI automation solutions that reduced backlog refinement effort by approximately 80%.

Activities and societies: Relevant Coursework: Business data analysis, mathematical modelling, optimisation and decision support, statistical analysis, and Python programming for analytical problem-solving. Technical Skills: Python, Microsoft Excel, SQL, Power BI, Tableau, Jira, and data visualisation.

Currently pursuing an MSc in Business Analytics, with relevant modules including Data Analytics in Business, Modelling Analytics, and Programming in Business Analytics (Python).

Activities and societies: Research and dissertation project: Cardiac Arrhythmia Detection using Machine Learning & Deep Learning. Built an ECG classification model for automated arrhythmia detection using Python, Machine Learning, Deep Learning, CNN, LSTM, SVM, and KNN, enabling accurate real-time cardiac rhythm classification.

Completed B.E. in Information Science Engineering with a research project on Cardiac Arrhythmia Detection using Machine Learning and Deep Learning.