• I worked on a project titled REM Sleep Classification using Ensemble Learning and Score Level fusion. • As part of the project, I developed a methodological framework to build a model to differentiate between REM and Non-REM behavioral disorders. • I was also awarded the best project award and a cash prize based on my performance. • Furthermore, I trained and separated models including Naive Bayes, and Gradient Boosted trees, then combined the metrics of all models to put in comparison and visualization. After carefully observing the results and visualization of the comparison, I performed a score level fusion for the same.

• Built the product from scratch and constructed 2-3 roadmaps of technology followed throughout the timeline • Won competitions like Microsoft Imagine Cup, FIIB's Meraki, and SIH 2022. • Worked on technologies like .NET, ML Studio, C-sharp, HTML, Microsoft Azure, IoT. • Also worked on the growth of products by contributing to the Revenue Model and go-to-market strategy.

• As a Junior Machine Learning Engineer, participated in 2 community projects including Road Safety in India and Racism in news media around the world. • Used and learned techniques like Web Scrapping, Data collection, Data cleaning and Algorithm Build-up. • Contributed to the community project with a team of 24 members and learned a lot of things.