Arkapriya De
About Arkapriya De
Arkapriya De is a DevOps Engineer currently employed at DP World in Hyderabad, Telangana, India. With a background in data analytics and machine learning, they hold a Bachelor of Technology in Computer Science from Lovely Professional University and have previous experience as a Data Analyst at Cargill and a Business Manager Intern at PrepBytes.
Current Role at DP World
Arkapriya De has been employed at DP World as a DevOps Engineer since 2023. In this role, they are responsible for implementing and managing DevOps practices, which include automation, continuous integration, and deployment processes. Their position is based in Hyderabad, Telangana, India, where they contribute to optimizing operational efficiency and enhancing software development workflows.
Previous Experience at PrepBytes
Prior to joining DP World, Arkapriya De completed a six-month internship as a Campus Business Manager at PrepBytes in 2020. This role involved engaging with students and promoting the platform's educational resources. The experience provided valuable insights into business management and enhanced their communication skills.
Experience as Data Analyst at Cargill
Arkapriya De worked as a Data Analyst at Cargill from 2022 to 2023. In this position, they utilized their analytical skills to interpret data and generate insights that informed business decisions. This role strengthened their background in data analytics and machine learning, which are relevant to their current responsibilities in DevOps.
Educational Background in Computer Science
Arkapriya De studied at Lovely Professional University, where they earned a Bachelor of Technology (BTech) degree in Computer Science from 2019 to 2023. This academic foundation provided them with essential knowledge in programming, data structures, and algorithms, which are critical for their roles in data analysis and DevOps.
Skills and Expertise
Arkapriya De possesses expertise in data structures and algorithms, enhancing their problem-solving capabilities. Their strong background in data analytics and machine learning complements their work in DevOps. Additionally, they have a keen interest in continuous learning and career advancement, focusing on acquiring new skills and expertise relevant to their field.