Nirbhay Raj Singh

Nirbhay Raj Singh has a diverse work experience in the field of data science and analytics. Nirbhay Raj currently serves as the Lead Data Scientist at KreditBee, starting in November 2021. Prior to that, they worked as a Data Scientist at WeRize from August 2020 to November 2021.

From January 2019 to August 2020, Nirbhay worked at KPMG Global Services (KGS) as a Data Scientist, focusing on marketing analytics and anomalous transaction detection. Nirbhay Raj utilized advanced statistical methods to analyze and model large datasets, and developed interactive tools for outlier identification and trend analysis in financial transactions.

Before their role at KPMG, Nirbhay held positions at Tata Capital, where they served as a Risk Analytics Manager and Risk Analytics Assistant Manager. From April 2018 to January 2019, they developed and managed acquisition and behavioral scorecards, automated credit processes, and created VBA-based tools for imputing expected credit loss. Nirbhay Raj also designed multiple dashboards to monitor portfolio health using key business indicators.

Nirbhay started their career as a Data Science Intern at Cummins Inc. from March 2016 to July 2016. Prior to that, they worked as the Placement Coordinator for the Placement Cell at Indian Statistical Institute from August 2014 to July 2016.

Overall, Nirbhay Raj Singh has a strong background in data science and analytics, with a focus on utilizing advanced statistical methods and developing interactive tools for data analysis and modeling.

Nirbhay Raj Singh completed their education with a Master of Technology (MTech) degree in Business Analytics & Statistics from the Indian Statistical Institute between 2014 and 2016. Prior to that, they obtained their Bachelor of Technology (BTech) degree in Electrical Engineering from Kamla Nehru Institute of Technology from 2010 to 2014. Their secondary education was completed at BNSD Shiksha Niketan in Kanpur from 2007 to 2009. Additionally, Nirbhay Raj Singh has obtained several certifications in various subjects, including Machine Learning, Python programming, and Data Science, from institutions such as Udemy, Coursera, DataCamp, and edX.