About

Silvi Pandey is a highly skilled Quantitative Research Analyst at PIMCO with nearly 4 years of relevant experience. She is a research scientist with a Master's degree in Financial Engineering from the University of California, Berkeley, and a Bachelor's degree in Mathematics and Computing from the Indian Institute of Technology, Guwahati. Silvi's expertise lies in conducting quantitative research and analysis to support investment decisions, risk management, and portfolio optimization. Her work involves developing and implementing models and algorithms to analyze market trends, forecast asset prices, and identify investment opportunities. She is highly proficient in programming languages such as Python and R, and has experience in statistical analysis, data visualization, and machine learning techniques. Silvi's professional experience includes a Quantitative Research Internship at PIMCO, where she worked on client analytics, and a Graduate Student position at the University of California, Berkeley. She has also been involved in various research projects, such as developing a machine learning model to predict stock prices and analyzing the impact of macroeconomic factors on asset prices. Silvi is a highly motivated individual with excellent analytical skills and a passion for problem-solving. She has strong communication and collaboration skills, and is comfortable working in a team environment. Her experience and skills make her a valuable asset to any organization looking to make data-driven investment decisions.