About

Nittin Sethi is a highly skilled Software Engineer with over 3 years of experience in the industry. Currently working at KIDOZ Inc. as a Software Engineer, Nittin has worked on several projects that have significantly impacted the energy industry. He has collaborated with London Hydro to predict energy consumption in households and save energy by 15%. Nittin built a Gaussian Naive Bayes Classifier model using Python to disaggregate the total consumption into energy consumed by each appliance. Prior to his current role, Nittin worked for Law of the Land as a Software Developer, where he collaborated with a 3-person team to develop an android application using Java with features like Google Maps and action search using Android Studio. He also built a Chatbot using Python to address customer issues, which resolved 90% of the queries. Nittin holds a Master of Engineering degree in Computer Software Engineering from Western University, where he graduated in 2020. He also holds a Bachelor's degree in Electrical, Electronics and Communications Engineering from VIT, where he graduated in 2015. Nittin's technical skills include Software Engineering, Naive Bayes, Machine Learning, Python, Android, and Search. With his extensive experience in the industry, Nittin has developed a deep understanding of the software development process and has a proven track record of delivering projects on time and within budget. He is passionate about using technology to solve complex problems and is always eager to learn new skills.