RESEARCH INTERN
- Collected and Refined Data regarding Heart Diseases and Implemented Various ML Algorithms for prediction and improved accuracy under guidance of Dr.Satish Anamalamudi (Department of Computer Science Engineering)
Determined student with academic discipline knowledge and drive to succeed. Offers skills in written and verbal communication and multitasking.
Cycling Endurance Race, Randonneur India, 2021-2023, Finisher of long-distance cycling endurance races conducted by Audax Paris (International Cycling Club) organized by Audax India.
Half Ironman, 10/01/19, Goa, India, Successfully completed a Half Ironman triathlon in Goa, demonstrating endurance, discipline, and perseverance.
Breast Cancer Image Classification: Normal, Benign and Malignant, Python, Google Colab, , A deep learning approach to classify breast cancer images into normal, benign, or malignant categories based on region of interest extraction and convolution neural networks.
Image Steganography, Python, Anaconda, 04/01/23, For safe data transmissions, this project allows for the concealment of information in carriers like images. Implemented phases - design, development, testing and maintenance of our application.
Heart Disease Prediction using Machine Learning Techniques, Python, ML techniques, 12/01/22, Our Contribution aids in the identification of critical aspects in the cardiac disease as well as prediction. Framing Application, Java, Eclipse, 12/01/22, Involves creating an application that is able to recognize the different frames during transmission.
Bus Ticket Reservation System, SQL, MySQL, 12/01/22, The Database manages the tickets and stores the information of the buses and seats available and the reservation information.
Applications of machine learning algorithms via Google Earth Engine interface to interpret snowline altitudes: A case study in Parvati basin Sai Prasad S.K.B.S under guidance of Vinay Kumar Gaddam Spatial information research, https://link.springer.com/journal/41324, submitted