Kanchan Pathak
About Kanchan Pathak
Kanchan Pathak is a Staff Data Scientist currently employed at The Standard in Portland, Oregon. With a background in data science and software engineering, Pathak has held various roles in organizations such as adidas, Viasat Inc., and Deloitte, and has a Master's degree in Information Systems from San Diego State University.
Work at The Standard
Kanchan Pathak has been employed at The Standard as a Staff Data Scientist since 2022. In this role, she applies her expertise in data science to contribute to the company's objectives. Her work involves analyzing data to inform decision-making processes and improve operational efficiency.
Education and Expertise
Kanchan Pathak earned a Master's degree in Information Systems from San Diego State University, where she studied from 2017 to 2018. Prior to this, she obtained a Bachelor's degree in Computer Engineering from the University of Mumbai, completing her studies from 2005 to 2009. Her educational background provides a strong foundation for her work in data science.
Background
Kanchan Pathak has a diverse professional background in data science and software engineering. She worked as a Graduate Research Assistant-Consulting at San Diego State University for nine months in 2017-2018. Prior to her academic roles, she spent five years as a Senior Software Engineer at Infosys Technologies Ltd in India, followed by a year as a Consultant at Deloitte.
Achievements in Data Science
Throughout her career, Kanchan Pathak has developed various data science models and tools. She created a generic package for price elasticity estimation using IV Regression and developed a model for optimizing price decision-making at adidas. Additionally, she utilized Propensity Score Matching to assess marketing interventions and implemented forecasting methods for product cancellation rates.
Internship Experience
Kanchan Pathak gained valuable experience as a Data Science Intern at Viasat Inc. in 2018, where she worked for three months. This internship provided her with practical insights into data science applications in a corporate environment, further enhancing her skills in the field.