Sebin Sunny

Sebin Sunny has four years of work experience. In 2021, they worked as a Junior Software Engineer at Aiven and as a Data Analyst at Bf4 Secure Analytics Pty Ltd. At Bf4, Sebin analyzed and modeled data and/or features while ensuring data quality to create a fraud detection system. Sebin also reviewed and tested current process controls on a frequent basis. In 2019, Sebin worked as a Data Science Intern at Deakin Launchpad where they designed and developed a Network Architecture for a Computer Vision Research Project and created a graph convolution network. In 2017, Sebin worked as a Software Engineer at Gifted Strings where they designed and developed a scalable data analytics platform and optimized data collection procedures. Sebin also explored latest technologies and had hands-on experience in creating and processing files and databases.

Sebin Sunny completed a Master of Data Science from Deakin University in 2020. Prior to that, they obtained a Bachelor of Technology - BTech in Computer Science from Mahatma Gandhi University between 2013 and 2017. Additionally, they obtained a Neural Networks and Deep Learning certification from Coursera in September 2020 and a Core Java certification from JSpiders - Training & Development Center in August 2018.