About

Akhil Sharma is an experienced AVP (Statistical Modelling) at Barclays with almost a decade of experience in data science, actuarial pricing, and financial reporting. He is skilled in using various programming languages such as R and Python for financial processing, impact analysis, and web scraping. Akhil's expertise lies in statistical modelling, where he has worked on LGD and EAD models, and has revised model documents using Python and Latex. He has also worked with external vendors, downloading data through web scraping in Python. In his previous roles, Akhil has worked with companies such as EXL and XL Catlin, where he has been involved in pricing scoring modal validation, IBNR allocation, and actuarial pricing. He has also worked on data analysis of claim descriptions, estimation of loss ratios, and analysis of factors causing large/attritional losses using machine learning approaches such as decision trees and random forest in R. Akhil's education background includes a Post Graduation Diploma in Applied Statistics from Indira Gandhi National Open University and a B.Tech in Computer Science from Noida Institute of Engineering & Technology. He has also completed his 10th and 12th from Dayawati Modi Academy-1, Meerut. Akhil's technical skills include Python, Scikit, ML, web development, data science, random forest, NLP, and integration. He has relevant experience of 9.86 years in the field of statistical modelling, actuarial pricing, and financial reporting.