Tarlochan Singh
About Tarlochan Singh
Tarlochan Singh is an Executive Trainee in the Data Science Unit at IndusInd Bank, specializing in analytics for credit card and personal loan portfolios. He graduated with a Bachelor of Technology in Civil Engineering from the Indian Institute of Technology, Roorkee in July 2019.
Work at IndusInd Bank
Tarlochan Singh serves as an Executive Trainee in the Data Science Unit at IndusInd Bank. He has been with the bank since 2019, focusing on analytics related to credit card and personal loan portfolios. His role involves utilizing data science techniques to enhance financial analytics, contributing to the bank's strategic decision-making processes. He is based in Gurgaon, India, where he applies his expertise to improve financial products and services.
Education and Expertise
Tarlochan Singh graduated from the Indian Institute of Technology, Roorkee, with a Bachelor of Technology in Civil Engineering in July 2019. His academic journey included a strong foundation in analytical skills, which he now applies in the financial sector. Prior to his time at IIT Roorkee, he completed his Higher Secondary education at Baba Gurmukh Singh Uttam Singh Senior Secondary School, and achieved Matriculation from Shaheed Darshan Singh Pheruman Public School, where he excelled academically.
Background
Tarlochan Singh's educational background includes a focus on Mathematics and Science during his Higher Secondary studies. He attended Baba Gurmukh Singh Uttam Singh Senior Secondary School from 2013 to 2015, followed by his matriculation at Shaheed Darshan Singh Pheruman Public School in Amritsar, where he achieved a score of 9.6 out of 10. This strong academic foundation laid the groundwork for his later studies in engineering at a prestigious institution.
Achievements
Tarlochan Singh graduated from IIT Roorkee in July 2019, marking a significant milestone in his academic career. His transition from academia to the professional world occurred shortly after graduation when he joined IndusInd Bank. His current role in the Data Science Unit reflects his commitment to applying his educational background in a practical setting, particularly in the area of financial analytics.