Hello, I'm Khush Agrawal, a dedicated and passionate individual in the field of Computer Science and Programming. I bring a strong commitment to excellence and a hands-on approach to every project I undertake. My journey includes valuable internships, where I actively contributed to web development, data visualization, and machine learning projects.
My passion for technology extends to personal projects like the WhatsApp Chat Analyzer, portfolio, reflecting my commitment to innovation and continuous learning. I am excited about the opportunities ahead to further contribute to the dynamic world of technology.
Skilled Software Developer with expertise in Front-End Web Development, Python, Microsoft Azure, Machine Learning, and Artificial Intelligence. I've successfully contributed to web projects, optimized data visualization, and implemented predictive modeling. Let's connect and explore new opportunities in software development.
Currently pursuing a Bachelor of Technology in Computer Science and Programming at Medicaps University, expected to graduate in June 2024
The coursework has provided a thorough understanding of programming languages, algorithms, and software engineering practices.
Honed Python skills for AI & robotics in Unmanned Aircraft Systems, with expertise in navigation, communication, and machine learning. Developed cutting-edge drone technology alongside leading researchers.
Completed secondary education at Pushpdeep International School, demonstrating a strong academic foundation and commitment to learning.
Signimus Technologies
Collaborating within a team environment to actively learn and contribute to projects leveraging my expertise in Python and Django. Dedicated to driving project success through effective communication and problem-solving, I'm committed to continuous improvement and delivering high-quality solutions.
Octanet
Interned as a Web Developer, actively contributing to the design and development of websites, effectively reducing Human work by 25%.
Robotronix India
Applied machine learning to predict local housing prices using machine learning techniques. Improved accuracy by 20%, making predictions more reliable.
Utilized Technology such as Python and machine learning libraries such as Scikit-learn, NumPy, Pandas, Matplotlib for developing predictive models.