My passion for technology extends beyond the classroom, as evidenced by my active participation in hackathons and projects. Recently, my team and I participated in DataHack 2.0 organized by DJS S4DS, securing a top 15 position and clinching a top 3 spot in our problem statement. Our project, Fit.AI, is a cutting-edge personalized workout application that utilizes camera-based pose detection for real-time feedback on form. This innovative solution earned us recognition and fueled our commitment to further refine and develop Fit.AI, believing in its potential to revolutionize personalized fitness experiences.
I have hands-on experience as a Data Analyst at Pay1, where I built a model for daily work analysis using Python. Additionally, I served as an App Developer at Crucibo, contributing to the development of live projects. My involvement as the Co-chairperson of DJS-NSDC, the official student chapter for ML with data visualization, showcases my leadership and dedication to advancing knowledge in machine learning.
I have honed my skills through various training programs, including Deep Learning Prerequisites and 100 Days Of Code: The Complete Python Pro Bootcamp. My proficiency includes advanced C Programming, intermediate Python, Java, HTML, CSS, and Tableau, with exposure to Flutter and machine learning.
Driven by the desire to create innovative solutions, I am motivated by projects like Fit.AI, where we seamlessly combined technology and fitness to provide personalized and effective workout experiences. My diverse skill set and commitment to continuous learning position me as a valuable asset for any hackathon project, where creativity meets technology to address real-world challenges.