About

Tushar Chandra is a Research Assistant and MS by research student at IIIT Hyderabad with a focus on applying Computer Vision to various areas including Biometrics, security, and surveillance. He is currently working as a Software Engineer at Visa, where he is leveraging his expertise in Computer Vision, OpenCV, TensorFlow, NLP, ML, Python, Java, CNN, Deep Learning, Sentiment Analysis, SVM, AI, Docker, Data Science, Pandas, Neural Networks, and MySQL to develop innovative solutions. With 1.78 years of relevant experience, Tushar has a strong background in research and has worked as a Research Assistant at IIIT Hyderabad, where he is currently doing research in biometrics part of computer vision and computational photography for building state-of-the-art surveillance systems. He has also worked as a Research Intern at the National Institute of Hydrology, where he predicted future ground water levels of Mewat district of Haryana, India using a deep learning technique called LSTM (Long- Short Term Memory). Tushar holds a Master of Science degree in Computer Science from IIIT Hyderabad, where he is currently pursuing his MS by Research. He also holds a Bachelor of Technology degree in Computer Science from Maharaja Surajmal Institute of Technology. He has a strong technical skill set and is proficient in Python, Java, CNN, Deep Learning, Sentiment Analysis, SVM, AI, Docker, Data Science, Pandas, Neural Networks, and MySQL. Tushar is a highly motivated and dedicated individual who is passionate about leveraging his technical expertise to develop innovative solutions that can make a positive impact on society. He is an excellent communicator and collaborator, with strong problem-solving skills and a keen eye for detail. With his strong technical background and research experience, Tushar is well-positioned to make significant contributions in the field of Computer Vision and beyond.