About

Pranshul Gupta is a highly skilled data scientist with over 3.87 years of experience in the field. He is currently working at Airtel X Labs as a Data Scientist (Machine Learning Engineer), where he has developed models for training and used trained weights for segmentation of nuclei into different nucleus, segmentation of doors and windows from cars, localization and classification of different types of defects on printed circuit board, localization, classification of dishes and their usage and popularity served to users on tray in Lufthansa airlines, and classification of X-ray into two categories i.e. it contains pneumonia or not. Pranshul has also produced ultrasound images using GAN’s model and solved problems such as defects localization on printed circuit board or indicator light localization using certain algorithms such as SURF, FLANN, Delf based on OpenCV and training from scratch. Pranshul has a strong educational background, having completed his Bachelor of Technology in Computer Science and Engineering from Guru Gobind Singh Indraprastha University. He has also completed his schooling from St. Joseph's Academy, Savita Vihar, Delhi, where he scored 89.6% in 12th grade and 91.2% in 10th grade. In addition to his technical skills, Pranshul is proficient in various programming languages and tools such as Python, Keras, TensorFlow, SQL, BERT, Apache Airflow, Pandas, and MySQL. He also has experience in blockchain technology and has worked as a Blockchain and MEAN Stack Developer Intern at Digital Ledger. Pranshul is a passionate researcher and has worked on several natural language processing-based projects, including sentiment analysis and various other analyses, including NER, for Japan Airlines (JAL) project of analysis of data generated from customer feedback. He is highly skilled in object detection, deep learning, and computer vision and has developed models for training and used trained weights for face recognition and detection using OpenCV. Overall, Pranshul Gupta is a highly skilled data scientist with a strong educational background and relevant work experience in various domains. He is passionate about research and has a proven track record of delivering high-quality solutions to complex problems.