About

Parthasarathi Das is a Data Science Consultant with over 2 years of experience in end-to-end life cycle for data science projects. He is highly organized, motivated, and diligent with a significant background in Applied Statistics and Quality Management. Parthasarathi is familiar with gathering, cleaning, and organizing data for use by technical and non-technical personnel. He has an advanced understanding of statistical, algebraic, and other analytical techniques. Currently, Parthasarathi works as a Data Science Consultant at EY. Prior to this, he worked as a Data Science Analyst at Louis Dreyfus Company and as a Data Scientist at Capgemini. At Capgemini, he worked on two projects: HR Analytics Project for India Financial Service and Financial Service Forecast Modelling. For the HR Analytics Project, Parthasarathi performed web scraping to gather third-party data and used Logistic Regression and Decision Tree Classifier approach to predict employee attrition probability. For the Financial Service Forecast Modelling project, he consolidated unstructured data to a time-ordered data and used ARIMA, ARIMAX, Moving Average, and Holt-Winters method to forecast data for the finance team to solve the business problem. Parthasarathi holds a Master of Science degree in Quality Management Science from the Indian Statistical Institute Bangalore. He also holds a Bachelor of Technology degree in Electrical, Electronics, and Communications Engineering from West Bengal University of Technology. In addition, he has a Certificate Course in Music Theory and Composition and Violin from Furtados School of Music. Parthasarathi's tech stack includes Data Scientist, Research Scientist, and Web. He has relevant experience of 1.35 years. With his expertise in data science and analytical techniques, Parthasarathi is an asset to any organization that values data-driven decision-making.