About

Chandra Shekar S is a full-stack developer and data analyst with a passion for automation. He is currently a working student at E.ON Energy Markets GmbH, where he is responsible for developing and analyzing data using Python and other programming languages. He is also pursuing a Master's degree in Data Engineering from Jacobs University Bremen. Chandra Shekar is a skilled developer with expertise in Jenkins, Gerrit, Kubernetes, Docker, Helm, REST, and Microservices. He is also proficient in data visualization using Excel with Power BI and has experience with Redis as a datastore. Additionally, he has extensive knowledge of load testing tools such as Locust and Apache JMeter and communication technologies like UMTS, LTE, and 5G NR. He is also experienced in developing UI with React and Node JS. Chandra Shekar has worked as a student intern at the Schaffhausen Institute of Technology, where he applied deep learning algorithms to add high-quality motion to still photos. He has also worked as a teaching assistant at the International University Bremen, where he was responsible for evaluating and conducting tutorials on topics like Computation simulations, Finite State Machines, Turing Machines, and Growth-rate functions. Chandra Shekar is an adventure seeker and a good philosopher with a keen interest in research and rediscovering activities. He is always curious and loves to analyze, interpret, and implement ideas in any field. He is a supportive team member who strives to create a positive work environment for his colleagues. Chandra Shekar has a Bachelor's degree in Computer Science Engineering from BMS and a PU degree in Science (Electronics) from BEL Composite PU College. He completed his 10th grade from St. Philomena's English School. He is currently pursuing a Master's degree in Data Engineering from Jacobs University Bremen. Chandra Shekar's tech stack includes Python, SQL, Redis, Kubernetes, Docker, Jenkins, Microservices, DevOps, UI, Deep Learning, and NodeJS. He has 1.43 years of relevant experience in the field.