Kamesh Chandrasekar
About Kamesh Chandrasekar
Kamesh Chandrasekar is a Software Engineer with a strong background in AI/ML and data science. He currently works at Cambridge Mobile Telematics and has experience in sports analytics, emphasizing innovation in his projects.
Work at Cambridge Mobile Telematics
Kamesh Chandrasekar has been employed as a Software Engineer at Cambridge Mobile Telematics since 2020. He works in the Greater Chennai Area and has contributed to various software engineering projects during his tenure. His role emphasizes innovation and uniqueness, which aligns with the company's focus on leveraging technology to enhance telematics solutions.
Previous Experience in AI/ML Research and Development
Before joining Cambridge Mobile Telematics, Kamesh worked at IN-D by Intain as a Research and Development AI/ML professional for nine months in 2019. This role took place in the Chennai Area, where he focused on developing AI and machine learning solutions. He also had a brief stint at Societe Generale Global Solution Centre as a Software Development Intern in 2018, where he gained experience in software development for six months.
Educational Background in Data Science
Kamesh holds a Master’s Degree in Data Science from PSG College of Technology, where he studied from 2015 to 2020. His educational journey began at SBOA School and Junior College, where he completed his high school education in General Science from 2000 to 2013. He furthered his studies in Computer Science at Velammal Matriculation Higher Secondary School from 2013 to 2015.
Internship Experience at PSG Software Technologies
In 2017, Kamesh completed a summer internship at PSG Software Technologies for one month. This experience allowed him to apply his academic knowledge in a practical setting and gain insights into the software development industry.
Specialization in Pythonic Development
Kamesh specializes in Pythonic development, focusing on simplicity and effectiveness in his coding practices. His expertise in Python is integral to his work in software engineering and data science, enabling him to create efficient and maintainable code.