- British citizen with 14+ years experience and expertise in quantitative analytics, machine learning, data science and data engineering - applicable to the banking, insurance and consulting domains.
- Extensive expertise in deep learning, Bayesian inference, Natural Language Processing (NLP), Computer Vision (CV), etc., applied to various use cases such as Asset Liability Management (ALM), actuarial pricing, trader surveillance, anti-financial crime, etc..
- MSc in Applicable Mathematics from the London School of Economics and Political Science (LSE), UK.
- BSc in Economics (majored in Econometrics and Mathematical Economics) from the University of Manchester, UK.
- Invited guest lecturer at the University of Oxford Department of Continuing Education (DCE) course "Artificial Intelligence - Cloud and Edge Implementations".
- CFA levels 1 and 2 exams passed on first attempts with CFA level 3 exam to be completed in due course.
- Please note that the below stats are related to my personal efforts as I cannot publish my professional efforts to GitHub, etc., for obvious reasons.
Reference for GitHub stats card: https://github.com/anuraghazra/github-readme-stats