Motivated Master's in IOT student seeking an internship in Software development immediately.Eager to apply hands-on experience and academic rigor gained through coursework and projects to contribute effectively during an internship.
1. Led a research study on bias estimation using bootstrap technique by deriving different bootstrap sample size.
1.Experimented and compared the analysis on energy usage between CPU and TinyML using Raspberrypi.
2.Leveraged Machine learning models from Skicit-learn and discovered the findings to achieve an energy consumption.
1.Using machine learning algorithms such as KNN,random forests and decision tree to predict heart disease.
2.Experimented these algorithms and compared them to receive more accurate predications
1.Developed an android mobile application by customizing the homemade bath products and used Google firebase for database services.
2.Demonstrated the strong UI/UX skills for attractive user page.
Published a paper on smart garbage monitoring system using IOT in scopus journal, 03/2021