About

Arkaprava Ghosh is a highly skilled Quantitative Researcher at JPMorgan Chase & Co. He is an accomplished Research Scientist with expertise in advanced regression techniques like GLS using newey-west estimation to predict future values of a homoskedastic time series. With 1.76 years of relevant experience, he has developed a segmentation method for an LGD model based on the US RMBS portfolio. The segmentation method has proven to possess reasonable segregation power and turned out to be pretty stable temporally. He has also worked on the annual CCAR process. Arkaprava has worked as a Developer at Covi-Help, where he acted in a SDE role as part of a team. They developed a web application hosted at https://covi-help.in using react and firebase coupled with MapMyIndia's maps API. The application aimed to crowdsource relevant data regarding oxygen suppliers and local volunteers during the extreme crisis that arose due to the pandemic in '21. He has also worked as a Tech Team Head at Spring Fest, where he developed a portal for Campus Ambassadors for management of participants equipped with a chatting mechanism for successful communication between ambassadors and fest managers. He was responsible for maintaining and developing the PHP backend and the main site of Spring Fest 2021, responsible for managing online fest participants. Arkaprava is a Bachelor of Technology in Manufacturing Engineering from IIT KGP '22. He has also completed his schooling from Ramakrishna Mission Vidyalaya. He has expertise in Spring, Web, Software Engineering, PHP, and Backend technologies. He is a highly motivated individual with a passion for research and development and has a proven track record of delivering results.