Sandeep Earayil

Sandeep Earayil is an accomplished professional with expertise in Equity Research, Factor Modeling, and Quantitative Analysis. His skills include Machine Learning, Applied Mathematics, Statistics, and Natural Language Processing. Sandeep is proficient in programming languages such as Python, Scala, R, and Matlab.

Education-wise, Sandeep Earayil has a diverse background having studied at Infant Jesus Anglo Indian Boys High during his early academic years. He pursued a Master's degree in Machine Learning and Data Analytics from Carnegie Mellon University and completed his Bachelor's in Computer Science and Engineering at the University of Kerala. Additionally, he enhanced his knowledge by studying Machine Learning through Coursera at Stanford University.

Throughout his career, Sandeep Earayil has held significant positions in various organizations. He currently serves as the Vice President of Machine Learning and Quantitative Analysis at Credit Suisse. Previously, he worked as an Investor at Trotter Labs, Director and Head of Machine Intelligence and Statistical Analysis at the Evidence Lab in UBS, and as an Assistant Vice President and Lead Data Scientist in Predictive Analytics at Credit Suisse. Sandeep has also contributed to projects as a Data Scientist in Innovation, and as a Data Scientist and Analyst in the Investment Bank division at Credit Suisse. Furthermore, he has experience as a Teaching Assistant for Social Media and Data Analytics at Carnegie Mellon University, as a Data Analyst at Rhiza Labs, and as a Summer Intern in the Investment Bank sector at Credit Suisse. Earlier in his career, he served as a Data Analyst at Pittsburgh Penguins and as a Software Engineer at Accenture Technology Solutions.