As a computer science student at RGIPT, I am passionate about applying my coding skills in python to solve real-world problems using machine learning. I am constantly learning new techniques and algorithms to enhance my knowledge and expertise in this domain.I recently completed a data science internship at BSES, where I developed and implemented a multi-output regression model for power demand forecasting, incorporating influential factors from the Meteorological Department of India. I also created an interactive web interface using Django, HTML5, CSS3, and Javascript to showcase a user-friendly demand forecast for various time slots throughout the day. This project enabled me to apply my skills in random forest, statistical analysis, and seaborn, and to gain valuable experience in working with a large and complex dataset.I am also a proud participant of the Amazon ML Summer School 2023, where I learned from industry experts and mentors about the latest trends and best practices in machine learning. I completed multiple challenge labs and projects, demonstrating my proficiency in supervised machine learning, regression, classification, advanced learning algorithms, statistical tests, and building neural networks My goal is to become a data science specialist who can deliver innovative and impactful solutions for various domains and industries. I am eager to take on new challenges and opportunities that will help me grow and achieve my potential.