Gaurav Haritas
About Gaurav Haritas
Gaurav Haritas is a Data Engineer Intern at Trademo in Gurugram, Haryana, India, where he has worked since 2023. He has gained experience through various internships at companies like Microsoft, IBM, and Google, focusing on data science and artificial intelligence.
Work at Trademo
Gaurav Haritas is currently employed as a Data Engineer Intern at Trademo, a position he has held since 2023. His role involves working on data engineering tasks in Gurugram, Haryana, India. The internship provides him with practical experience in data management and analytics, contributing to his professional development in the field.
Previous Internships
Gaurav has gained diverse experience through various internships. He worked as an Engage Intern at Microsoft in 2022 for one month. In 2023, he held multiple internships, including a Data Science Intern position at Oasis Infobyte, an Artificial Intelligence Intern role at IBM, and a Data Science and Business Analytics Intern position at The Sparks Foundation, each lasting one month. Additionally, he completed a Google Cloud Skills Boost program in 2021.
Education and Expertise
Gaurav is pursuing a Bachelor's degree in Computer Science Engineering with a focus on Artificial Intelligence and Machine Learning at Dronacharya College of Engineering, where he has been studying from 2020 to 2024. He completed his Higher Secondary education at Kendriya Vidyalaya, specializing in Physics, Chemistry, Mathematics, and Computer Science.
Projects and Achievements
Gaurav has led the development of a Drowsiness Detection System utilizing Python, OpenCV, DLib, Mediapipe, and MySQL, which includes SQL database connectivity for storing images of drowsy drivers. He also developed a Student Marks Prediction Model achieving over 94% accuracy using data analysis and machine learning techniques. His participation in the MINeD Hackathon resulted in a presentation of a Real-Time Attendance System project, which received positive feedback.
Technical Skills
Gaurav has demonstrated proficiency in data analysis and machine learning, achieving over 90% accuracy in various projects using tools such as Sklearn, Numpy, and Pandas. His technical skills include programming in Python and working with databases, which are essential for his roles in data engineering and analysis.