Sohum Panda
About Sohum Panda
Sohum Panda is an Actuarial Intern at Milliman, with a Master's degree in Physics from Imperial College London. He has diverse experience in internships across finance and compliance, and possesses strong coding and analytical skills, particularly in Python.
Work at Milliman
Sohum Panda currently holds the position of Actuarial Intern at Milliman, a role he has been in since 2021. His responsibilities include applying actuarial principles and methodologies to assist in various projects. Milliman is known for its focus on providing expert advice in risk management and insurance, making it a suitable environment for an aspiring actuary.
Education and Expertise
Sohum Panda studied at Imperial College London, where he earned a Master of Science (MSci) in Physics from 2018 to 2022. His academic background includes a strong foundation in analytical and coding skills, particularly in Python, which he utilizes for data recording and analysis. He also completed his A-Levels at The Haberdashers' Aske's Boys' School, achieving A*A*A*A, and earned 10 A* grades in his GCSEs.
Background
Sohum Panda has a diverse background that includes various internships and volunteer work. He worked as a Summer Intern at Morgan Stanley in 2017 and held a Compliance Intern position at Raymond James in 2016. Additionally, he served as Sports Secretary for the NHSF Imperial Hindu Society from 2019 to 2021, showcasing his leadership and organizational skills. He also volunteered for local charities in his spare time.
Projects and Initiatives
During his academic career, Sohum Panda created a simulation of gas particle collisions to test the properties of an ideal gas. He also developed a Python script that enabled motion detection to control paddles in a game of pong. These projects demonstrate his technical skills and ability to apply theoretical knowledge to practical applications.
Interests and Skills
Sohum Panda has a keen interest in intermediate term equity trading, focusing on candlestick patterns and technical indicators. His analytical skills, particularly in Python, allow him to analyze data effectively. This combination of interests and skills positions him well for a future career in finance and actuarial science.