Arnav Oberoi is an attentive intern with strong time management, organizational, and assistance skills. He is currently pursuing a Bachelor's Degree in Data Science and Artificial Intelligence from The NorthCap University with a CGPA of 7.3. His skills include Python programming, machine learning, natural language processing, deep learning, Linux, Google Analytics, and Tableau. He has work experience as a deep learning intern, undergraduate research assistant, writer, and data analytics intern.

1. Arnav Oberoi
Villano. 5, Ardee City Sector 52, Gurgaon, Haryana, 122002 | 08368225003 | arnav@oberoi.co.in
Summary
Attentive Intern offering sharp time management,organizational and assistance skills. Personable individual willing to work
hard and take any task.
Education
High School Degree | June 2017 | Suncity School
 Score: 82%
 89% in Informatics Practices (SQL)
Bachelor’s Degree | June 2022 | The NorthCap University
 Specialization: Data Science and Artificial Intelligence
 Current CGPA: 7.3
 Statistics and Probability: A grade
 Python for Data Science: A+ grade
Skills&Abilities
 Data Collection and Analysis
 Python Programming Language
 Machine Learning
 NaturalLanguage Processing
 Deep Learning
 Linux
 Google Analytics
 Tableau
 Microsoft Office
Experience
 Deep Learning Intern | Staple AI | 05/2020 – 06/2020
 Undergraduate Research Assistant | The NorthCap University | 02/2020 – 05/2020
 Writer | Towards Data Science - Medium | 12/2019 – No Expiration
 Data Analytics Intern | Publicis Groupe | 06/2019 – 09/2019
 Python Developer Intern | Publicis Groupe | 01/2019 – 04/2019
Accomplishments
 Documented and published 2 research paper in the field of Data Science.
 Received ‘Student Project of the Year’ and ‘Young Achiever Award’ award by Institute of Scholars in 2019 for my
project in the field of Analytics and Machine Learning and for my research paper respectively.
 Signed by a music label for a song in 2017.
 Certified Python Programmer by pythoninstitute.org and LinkedIn.
 Published an article on Towards Data Science for Multiple Linear Regression.