Pratik Patre
About Pratik Patre
Pratik Patre is a Data Scientist 3 with extensive experience in developing prediction algorithms and analyzing large datasets. He holds a Bachelor of Engineering from the University of Mumbai and a Master’s Degree in Information Systems from Northeastern University.
Current Role at Zepto
Pratik Patre serves as Data Scientist 3 at Zepto, a position he has held since 2023. He is based in Bengaluru, Karnataka, India. In this role, he focuses on designing and implementing analytics and visualization components to facilitate data analysis and predict hardware functionality. His expertise in data science contributes to the company's data-driven decision-making processes.
Previous Experience in Data Science
Prior to his current role, Pratik Patre worked at Regions Bank as Data Scientist | Associate Vice President from 2019 to 2021 in Denver, Colorado. He also held the position of Data Scientist 2 at Regions Bank from 2022 to 2023 in Boston, Massachusetts. His experience includes working as a Senior Data Scientist at CoffeeBeans for 10 months in the Mumbai Metropolitan Region, and as a Data Science Engineer at dataxu for 9 months in Boston.
Educational Background
Pratik Patre earned a Bachelor of Engineering (B.E.) in Electronics from the University of Mumbai. He furthered his education by obtaining a Master’s Degree in Information Systems from Northeastern University. His academic background provides a solid foundation for his work in data science and analytics.
Technical Skills and Expertise
Pratik possesses hands-on experience with various databases, programming languages, cloud platforms, and Business Intelligence tools. He specializes in developing prediction algorithms using advanced data mining tools. His technical skills include designing pipelines to analyze large datasets using Python and Shell Scripts, complemented by his knowledge of molecular modeling tools.
Internship Experience
In 2017, Pratik Patre completed an internship as a Geospatial Big Data Intern at Verisk in Lexington, Massachusetts. This role provided him with practical experience in handling large datasets and contributed to his understanding of data science applications in real-world scenarios.