Prabakar Rajasekaran

About Prabakar Rajasekaran

Prabakar is associated with data science industry with specialization in credit risk management domain for over 14 years. Prabakar started his career with Mu Sigma as part of the Innovation and Development team, where he was involved in building and supporting a product (which performs predictive analysis using advanced statistical models in milliseconds). Over the past few years, Prabakar has worked on all three liens of defense (Model Development, Model Validation and Internal Audit) for the Credit Risk domain across CCAR and IRB regulations working for US, UK and Europe regions. He has also build products in R and R Shiny to automate many for the process involved in the projects for efficient and effective project delivery. He has good understanding on some of the machine learning topics like Random Forest, Support Vector Machine, GBM, Neural Network, Reinforcement Learning. Also has good understanding on implementing these models using R and Python software.Prabakar has expertise in R, Python and SAS. One of his project was also shortlisted and presented in UseR 2017 conference held in Brussels.

Experience

1. Solution Manager

   Deloitte

   Feb 2025 — Present · Chennai, IN

Education

• Madras School of Economics

  M.Sc, Financial Economics

  2009 — 2011

• Global Association of Risk Professionals (US-GARP)

  FRM Level 1, Financial Risk Manager

  2013 — 2013

• Loyola College, Chennai

  B.Sc, Mathematics

  2005 — 2008

Skills

• Statistics
• Sas
• High Frequency Trading
• Analytics
• Business Analytics
• Python
• Macroeconomics
• Predictive Modeling
• Deep Learning
• Predictive Analytics
• Mathematics
• Excel
• Machine Learning
• Statistical Modeling
• Microsoft Excel
• Optimization
• Risk Management
• Sql
• Trading Strategies
• R
• Econometrics