Chana Shmuel
About Chana Shmuel
Chana Shmuel is a Software Tools Developer at Placer.ai, specializing in feature development for the company's dashboard and admin platform using the Django framework. She holds a Bachelor's degree in Computer Science from The Open University of Israel and has extensive knowledge in programming languages and cloud technologies.
Work at Placer.ai
Chana Shmuel has been employed at Placer.ai as a Software Tools Developer since 2021. In this role, she has contributed to the development of features for the Placer.ai dashboard and admin platform, utilizing the Django framework. Her responsibilities also include involvement in the CI/CD process, where she employs Jenkins for continuous integration and deployment. Chana's work focuses on enhancing the functionality and efficiency of the company's software tools.
Education and Expertise
Chana Shmuel studied Computer Science at The Open University of Israel, where she earned her Bachelor's degree from 2016 to 2021. She began her studies while still in high school, starting in 10th grade. Additionally, she studied at ISTQB® - International Software Testing Qualifications Board, where she completed a diploma in 2019. Chana possesses deep knowledge in programming languages including C, Java, SQL, and Python, and has experience in developing complex large-scale data pipelines.
Background
Chana Shmuel has a strong academic background, having received the Dean's Academic Studies award while studying at The Open University. Her educational journey reflects a commitment to learning and professional development, as she pursued her studies in Computer Science over a five-year period while balancing other responsibilities.
Technical Skills
Chana Shmuel has developed a robust skill set in software development and cloud technologies. She utilizes tools such as Docker and Kubernetes in her current role at Placer.ai, and she is proficient in Google Cloud Platform. Her technical expertise supports her contributions to software development and the management of data pipelines.