About

Pranjal Bhaskare is a highly skilled data scientist with expertise in machine learning, deep learning, and computer vision. He is currently working as a Data Science Manager at Jio in Hyderabad, India. Pranjal has a B.Tech and M.Tech from the prestigious Indian Institute of Technology, Madras. With 3.37 years of relevant experience, Pranjal has worked on several challenging data science projects. He has developed a gene sequence analysis algorithm to identify genotypes to phenotype relation of a DNA, achieving groundbreaking results. Pranjal has also designed different deep learning architecture to the classification of the 3D model and segmentation of complex 3D structures to elementary shapes, achieving a remarkable 98.2% accuracy. Pranjal has worked as a Deep Learning Intern at Knorr-Bremse, where he developed AI and Computer Vision algorithms to analyze real-time road condition and object detection. He also designed an Android application for Ghost VR, which provides the orientation of the device with 87.6% precision. He improved the precision to 96.8% by implementing a Kalman filter to reduce the noise produced by sensors. The application merges Augmented Reality with Virtual reality to enhance the user's interaction with the physical world. Pranjal's expertise includes UI/UX development, Android development, graphic design, Python, Java, Spark, C++, C, XML, R, MATLAB, and SQL. He is passionate about researching exciting mathematical aspects of Machine learning and big data. Pranjal is a quick learner and continuously expands his capabilities to learn more. In summary, Pranjal Bhaskare is a highly skilled data scientist with expertise in machine learning, deep learning, and computer vision. He has worked on several challenging data science projects and achieved groundbreaking results. Pranjal is passionate about researching exciting mathematical aspects of Machine learning and big data. He is a quick learner and continuously expands his capabilities to learn more.