Rakesh Rajan

Rakesh Rajan

Assistant Manager @ KPMG India

About Rakesh Rajan

Rakesh Rajan is an Assistant Manager at KPMG Global Services, specializing in data visualization and machine learning solutions. He has a background in engineering and analytics, with experience in various programming languages and previous roles in consulting and engineering.

Work at KPMG Global Services

Rakesh Rajan currently holds the position of Assistant Manager at KPMG Global Services (KGS) in Bengaluru, Karnataka, India. He has been with the organization since 2021. Prior to this role, he served as a Senior Consultant at KGS from 2020 to 2021. His tenure at KPMG has allowed him to develop strong skills in data visualization using Tableau and expertise in implementing machine learning, natural language processing, and deep learning solutions.

Education and Expertise

Rakesh Rajan completed his Bachelor of Engineering (BEng) in Mechanical Engineering at the College of Engineering, Guindy, from 2010 to 2014. He furthered his education by obtaining a PG in Business Analytics from Praxis Business School in 2018. His educational background is complemented by strong programming skills in languages such as Python, SAS, and R, which support his expertise in analytics and data-driven solutions.

Professional Background

Rakesh Rajan has a diverse professional background. He began his career as an intern at Sundaram Motors in 2013. He then worked as a Senior Engineer at Asahi India Glass Limited (AIS) from 2014 to 2017. Following this, he served as an Assistant Manager at Tata Capital from 2018 to 2020. His career progression reflects a solid foundation in engineering and analytics, leading to his current role at KPMG.

Skills in Data Visualization and Analytics

Rakesh Rajan possesses strong skills in data visualization, particularly using Tableau. His expertise extends to implementing advanced analytics solutions, including machine learning, natural language processing, and deep learning. These skills are supported by his proficiency in programming languages such as Python, SAS, and R, enabling him to effectively analyze data and derive insights.

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