About

Pranjal Sharma is a highly driven and solution-oriented software developer with a passion for Machine Learning and Web Development. He is currently working as an Analyst at Goldman Sachs, where he utilizes his skills in research and engineering to develop innovative solutions. Pranjal is a recent graduate from IIT Dhanbad, where he earned a Bachelor of Technology in Electrical Engineering and a Minor in Computer Science and Engineering. Prior to joining Goldman Sachs, Pranjal worked as a Graduate Analyst at Barclays, where he was responsible for the development, maintenance, and unit testing of Java-based web applications. He also addressed tickets and issues arising on live environments and provided rapid fixes while maintaining Jira records. Additionally, Pranjal worked as a Machine Learning Intern at EMBL - European Molecular Biology Laboratory, where he designed a user simulator/automated strategy tester in Python to emulate the annotation behavior of a biologist and test efficient training schemes on Unet variant models. He also integrated the bot with ilastik - a native Pytorch wrapper for interactive machine learning and Tensorboard for real-time analysis. Pranjal's educational background includes a Nanodegree in Cloud Developer from Udacity and a Bachelor of Technology in Electrical Engineering from IIT Dhanbad. He also earned a Minor in Computer Science and Engineering from the same institution. Pranjal's technical skills include Web Development, Machine Learning, Research Scientist, Software Engineering, Spring, Java, Pytorch, and Python. Pranjal has relevant experience of 2.68 years and is a highly motivated individual who is constantly seeking new challenges and opportunities to grow and develop his skills. He is a team player who thrives in collaborative environments and is always willing to go the extra mile to achieve project success.