Simmi Gupta
About Simmi Gupta
Simmi Gupta is a Cat Modelling Risk Analyst at Xceedance in Gurugram, Haryana, India, with a strong educational background in Economics and Applied Quantitative Finance. She possesses expertise in Python for Machine Learning and STATA, which she applies in her analytical work.
Work at Xceedance
Simmi Gupta has been employed at Xceedance as a Cat Modelling Risk Analyst since 2020. In this role, she applies her expertise in Python for Machine Learning and STATA to analyze and model risks associated with catastrophic events. Her work contributes to the company's analytics capabilities, particularly in the insurance and risk management sectors. Gupta operates from Gurugram, Haryana, India, where she collaborates with a team of professionals to enhance data-driven decision-making processes.
Education and Expertise
Simmi Gupta holds a Master of Arts in Applied Quantitative Finance from the Madras School of Economics, which she completed from 2018 to 2020. Prior to that, she earned a Bachelor of Arts (Honors) in Economics from Daulat Ram College between 2015 and 2018. Gupta also completed her secondary education at Moti Ram Memorial Girls Sr. Secondary School, achieving a 74.1% score in her 10th grade. Her educational background equips her with a strong foundation in quantitative analysis, which she utilizes in her current role.
Background
Simmi Gupta's educational journey began at Moti Ram Memorial Girls Sr. Secondary School, where she studied Business/Commerce and completed her 12th grade from 2014 to 2015. She then pursued a Bachelor’s degree in Economics, followed by a Master’s degree in Applied Quantitative Finance. Throughout her academic career, she completed projects focused on Econometrics and Financial Econometrics, which provided her with practical experience in data analysis and financial modeling.
Skills in Data Analytics
Simmi Gupta has developed a strong passion for Data Analytics, which guided her career path towards the analytics field. Her proficiency in programming languages such as Python for Machine Learning and statistical software like STATA supports her analytical work. These skills are essential in her role as a Cat Modelling Risk Analyst, where she engages in complex data analysis to inform risk assessment and management strategies.