Narendra S.

Having studied Engineering and Economics/Statistics, I have a good grasp of theoretical concepts in Statistics, Economics, Econometrics, Finance, Math, & Programming. I had worked with EY for the last 5 years and gathered significant working knowledge in those areas. I have been working in R, Python, R Shiny for the last 7+ years. I have developed dozens of web applications using R shiny. I am quite well versed in SQL, PowerBI, and Tableau. I have expertise in Credit risk modeling: Regulatory modeling such as IFRS9, Basel, stresstest, IRB models, PD, LGD, EAD, CCF models. I have extensive experience in business risk modeling such as scorecards, behavioural modelings for accepts/rejects/strategy decision making. I have experience in climate risk modeling, Operational risk modeling and stress testing as well. My keen interest in solving business problems from data using advanced analytics and machine learning techniques has been my core competency. I have worked on both supervised and unsupervised machine learning using R, Python, and SQL. Having taken part in various hackathons, I have improved my technical knowledge of modelling, feature engineering, building production pipeline etc. I have also worked on deep learning specifically with image data. Being from a consulting industry, I value my client a lot and try to communicate as frequently as possible to deliver top quality work.