About

Naitik Bhise is an experienced Data Scientist with a strong background in Deep Learning and Data Science. He is currently working as a Data Scientist at Airlab, where he applies his expertise in Recommendation Systems, Portfolio Analysis, Data Extraction, and User Behaviour Analysis. Naitik's passion for research has led him to work as a Graduate Research Assistant at Concordia University, where he is currently working on Text to Image Synthesis projects. During his time at Concordia University, Naitik completed several projects in Deep Learning and Reinforcement Learning, applying their methods to Computer Vision datasets and understanding their results. He also worked on a feature extraction project for a Dysgraphia detection model, leveraging Convolutional Neural Networks to generate efficient understanding of the results. Naitik's contributions to the Dynamic Memory GAN network improved the FID metric of the Text to Image Synthesis by applying a new method to the training of GANs. Aside from his research work, Naitik has also worked as a Teaching Assistant for courses in Discrete Mathematics and Machine Learning. Prior to his current role, he worked as a Data Scientist at Cryptoeasy, where he was involved in building and optimizing models to analyze the evolution of cryptocurrency. He also worked with the team to build the portfolio under conditions expected by users and imported data from websites and APIs made for cryptocurrencies to better understand their trends. Naitik holds a Bachelor's degree in Engineering Physics and a Master's degree in Computer Science (Thesis) from Indian Institute of Technology, Bombay, and a Master's degree in Engineering Physics from the same institution. He has a strong tech stack that includes Python, Computer Vision, GAN, and Backend. With almost 2 years of relevant experience, Naitik is a highly skilled and knowledgeable Data Scientist with a passion for research and a proven track record of delivering results.