Dipti Karmarkar
About Dipti Karmarkar
Dipti Karmarkar is a Senior Data Scientist with a background in Economics from the University of Chicago. She has held various analytical roles, including positions at The Cambridge Group, Prophet, and Arity.
Work at Arity
Dipti Karmarkar currently holds the position of Senior Data Scientist at Arity, where she has been employed since 2017. In this role, she applies her expertise in data science to develop and implement machine learning models. Prior to her current position, she worked as a Machine Learning Engineer at Arity for one year, from 2016 to 2017. Her contributions to the company focus on leveraging data analytics to enhance decision-making processes.
Education and Expertise
Dipti Karmarkar earned her Bachelor of Arts degree in Economics from the University of Chicago, completing her studies from 2007 to 2011. This academic background provides her with a strong foundation in analytical thinking and quantitative analysis, which she applies in her professional roles. Her education has been instrumental in her career progression in data science and analytics.
Background
Dipti Karmarkar began her career as a Corporate Services Intern at Zurich North America in 2010, where she gained initial exposure to the corporate environment. She then transitioned to The Cambridge Group, where she worked as a Business Analyst and later as a Senior Business Analyst from 2011 to 2014. Following this, she served as a Senior Associate in Insights and Analytics at Prophet from 2014 to 2016, further developing her skills in data analysis and strategic insights.
Professional Experience
Dipti Karmarkar has accumulated significant professional experience in data analytics and business strategy. After her internship at Zurich North America, she spent three years at The Cambridge Group, where she advanced from Business Analyst to Senior Business Analyst. She then worked at Prophet for two years as a Senior Associate, focusing on insights and analytics. This diverse experience has equipped her with a comprehensive understanding of data-driven decision-making.