Prajwal Srinivas
About Prajwal Srinivas
Prajwal Srinivas is an Analyst in Decision Sciences specializing in Model Risk Management at HSBC. He holds a Bachelor of Engineering in Electrical, Electronics and Communications Engineering from B. M. S. College of Engineering and has experience in data manipulation, statistical analysis, and machine learning.
Work at HSBC
Currently, Prajwal Srinivas holds the position of Analyst in Decision Sciences, specifically focusing on Model Risk Management at HSBC. He has been with the organization since 2020, contributing to the development and implementation of analytical solutions that enhance risk management processes. His role involves applying statistical analysis and machine learning techniques to improve decision-making frameworks within the organization.
Education and Expertise
Prajwal Srinivas earned a Bachelor of Engineering degree in Electrical, Electronics and Communications Engineering from B. M. S. College of Engineering, completing his studies from 2014 to 2018. He possesses expertise in data manipulation and wrangling, which is essential for effective model risk management. His strong foundation in both descriptive and inferential statistical analysis supports his analytical capabilities.
Background
Prajwal Srinivas has a diverse professional background, beginning with internships at ABB and BEML LTD. in 2017. He worked as an Intern for one month at both organizations in Bengaluru, Karnataka, India. Following his internships, he joined Tata Consultancy Services as an Assistant System Engineer, where he worked for two years from 2018 to 2020 in the Bangaon Area, India. He also gained experience as a Data Analyst Intern at iNeuron.ai for three months in 2020.
Skills in Model Risk Management
In his current role and previous positions, Prajwal Srinivas has developed skills in model risk management. He utilizes machine learning concepts to create advanced analytical solutions that address various risk management challenges. His capabilities in statistical analysis and data manipulation are integral to his work, allowing him to contribute effectively to decision-making processes.