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London

NewDay is one of the UK’s largest credit card lenders, specialising in the sub-prime market through their own cards as well as prime products in association with brands such as Amazon.I worked in the credit risk data science team, which is responsible for building and maintaining models for fraud, acquisitions, customer management and collections.

MSc in Theoretical Physics with a focus on Quantum Foundations.Master's thesis in Quantum Collapse Models

Worked in the core engineering group which created and maintained the core algorithms underlying the productsResearched and implemented algorithms to improve the existing products, working in particular on Spire Talent AcquisitionUsed machine learning techniques including natural language processing (NLP) and neural networksWorked with scipy, pandas and.

London, United Kingdom

• Undertook a machine learning project to extract the laws of physics from experimental data and involves genetic programming and genetic algorithms:
• Applied a genetic programming technique to predict future dynamics of a physical system with symbolic regression technique
• Written in clojure and mathematica, comprises of a genetic algorithm and a polynomial optimiser as the search space was not smooth enough with symbolic regression
• Successfully modelled simple harmonic oscillator, coupled harmonic oscillators amongst other physical systems

London, United Kingdom

Financially responsible for the club. Managed budgets and general financial issues.

London, United Kingdom

London, United Kingdom

Managed club's social media and revamped website

Bangalore, India

Investigated effectiveness of machine learning technique - gradient boosting - against linear regression methods for a fraud risk model of a personal loan portfolio.Fitted a model to credit scoring data on two-wheeler loans using gradient boosting.Used SAS E-miner to identify overfitting

London, United Kingdom

Built and optimised a feedback circuit which was used in the lab in the QOLS group in the Physics department to stabilise lasers

Bengaluru Area, India

Published 339 news reports and reviews of on-going sports events, gaining over 850,000 reads

Bangalore

• iQuanti is an analytics start up that advises financial institutions on the effectiveness of their digital channels
• Performed regression analysis on the various factors influencing the viewership of clients’ YouTube videos
• Established that video length and the presence of celebrities were key factors influencing effectiveness

Master Of Science - Ms, Theoretical Physics

Msci, Physics

Activities and Societies: Squash, Dodgeball

Education record

Education record

Activities and Societies: Football