Nivya Nandakumar

Nivya Nandakumar

Data Science Intern @ DeliveryHero

About Nivya Nandakumar

Nivya Nandakumar is a Data Science Intern at Delivery Hero in Berlin, Germany, with a background in analytics, project management, digitization, and sustainability.

Current Role at Delivery Hero

Nivya Nandakumar currently holds the position of Data Science Intern at Delivery Hero in Berlin, Germany. She began this role in June 2021. In this role, she leverages her expertise in data science to solve problems and enhance decision-making processes within the company by extracting insights from data.

Previous Experience at Schneider Electric

Nivya Nandakumar has extensive experience at Schneider Electric, having held multiple roles over a six-year period. She served as a Senior Engineer from 2015 to 2019, followed by a promotion to Assistant Manager from 2019 to 2021 in Bangalore Urban, Karnataka, India. In 2021, she undertook an internship at Schneider Electric for three months in Berlin, Germany, demonstrating her versatility and commitment to the organization.

Educational Background

Nivya Nandakumar pursued her Master's degree in Project Management and Data Science from Hochschule für Technik und Wirtschaft Berlin, completing her studies in 2021. Her background in engineering is rooted in her Bachelor of Engineering degree in Electrical and Electronics Engineering, which she obtained from Sri Jayachamarajendra College Of Engineering from 2011 to 2015.

Experience at Hochschule für Technik und Wirtschaft Berlin

Nivya Nandakumar worked as a Student Assistant at Hochschule für Technik und Wirtschaft Berlin from 2020 to 2021, during her Master's studies. In this five-month role, she supported academic activities, further honing her skills in project management and data science.

Skills and Interests

With five years of experience in Analytics, Project Management, Digitization, and Sustainability, Nivya Nandakumar is proficient in problem-solving and data insights. Her work aims to fortify organizational decision-making processes, showcasing her passion for utilizing data science to drive efficiency and innovation.

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