Arpan Modi
About Arpan Modi
Arpan Modi is a Data Science Intern at o9 Solutions, Inc. in the Dallas-Fort Worth Metroplex, where he has worked since 2022. He holds a Master's degree in Industrial Engineering - Data Science from Texas A&M University and has experience in various roles related to data analysis and quality assurance.
Work at o9 Solutions
Arpan Modi serves as a Data Science Intern at o9 Solutions, Inc. since 2022. In this role, he participates in collaborative projects aimed at addressing critical business challenges through data analysis. His work involves applying data science techniques to derive insights that inform business strategies. The internship is based in the Dallas-Fort Worth Metroplex, where he actively seeks opportunities to enhance his data science skills in a practical industry environment.
Education and Expertise
Arpan Modi holds a Master's degree in Industrial Engineering with a focus on Data Science from Texas A&M University, where he studied from 2021 to 2023. He also earned a Bachelor of Engineering in Electrical and Electronics Engineering from Bhartiya Vidya Bhavans Sardar Patel Institute of Technology in Mumbai. His educational background equips him with a solid foundation in engineering principles and data science methodologies.
Background
Prior to his current role, Arpan Modi gained experience as a Graduate Research Assistant at Mays Innovation Research Center for seven months in 2022. He also worked as a Data Science Assistant at Texas A&M University - Mays Business School for four months in 2021-2022. Additionally, he has two years of experience as a Quality Analyst at L&T Technology Services Limited in Bengaluru, India, from 2019 to 2021.
Achievements
During his time at o9 Solutions, Arpan Modi has engaged in projects that focus on leveraging data analysis to solve business problems. His passion for extracting insights from data drives his contributions to the organization. His academic and professional experiences reflect a commitment to applying data science in real-world scenarios.