Saurabh Aggarwal

Saurabh Aggarwal is a highly accomplished professional with a diverse skill set and a strong educational background in Data Science. He holds a Master's degree in Data Science from San Jose State University with a GPA of 4.0. Saurabh is well-versed in areas such as Data Structures, C++, Machine Learning, Deep Learning, Neural Networks, Python (including Pandas, Numpy, Scikit-learn), as well as Jquery, Html5, CSS, C#, Sql Server, MVC 4.0, Linq, and more. He has also demonstrated expertise in development tools like TFS and JIRA. With over 5 years of experience in the Finance Domain, Saurabh has specialized knowledge in Behavioral Science, focusing on topics like Normative social influence, FOMO, and behavior-turns-habit research. Saurabh has completed various certifications, including a B.Tech in Computer Science with a high grade of 86%, and certifications in Machine Learning, Algorithms, Data Structures, Programming in HTML5 with JavaScript, among others. He has published research articles in prestigious international journals on topics related to Deep Learning models and Machine Learning in the financial markets.