About

Prarit Lamba is a highly skilled Staff Data Scientist and Tech Lead at Intuit with over 7 years of relevant experience in the field of data science, machine learning, and artificial intelligence. He has a Master's degree in Management Information Systems from San Diego State University and a Bachelor's degree in Electronics and Communications Engineering from Jaypee Institute of Information Technology. Prarit has a proven track record of creating innovative tools and methods to deliver solutions that have significant industrial influence in the business areas. He is a Kaggle Expert in data science competitions and has hands-on experience in various machine learning algorithms such as Linear Regression, Naive Bayes, Logistic Regression, Support Vector Machine, Gradient Boosting Tree, Convolutional Neural Network, Recurrent Neural Network, LSTM, Bert, and GPT2. He also has expertise in end-to-end machine learning pipeline, model quantization, inference, and deployment in production. Prarit has worked as a Senior Data Scientist at Intuit and as a Data Scientist II at Mitchell International. He has also worked as a Data Management Intern at Mitchell International. Prarit has designed and developed proprietary algorithms and machine learning pipelines during his tenure at these companies. Prarit has hands-on experience with AWS and GCP and has worked on various projects related to image classification, image segmentation, natural language processing, and machine learning algorithms. He is a Research Scientist, Senior Software Engineer, and a Data Scientist with expertise in Neural Networks, AWS, BERT, Naive Bayes, SVM, Image Segmentation, NLP, and GCP. Prarit is a highly motivated individual who enjoys creating innovative tools and methods. He is a team player and has excellent communication skills. He is always eager to learn and grow in his field and is constantly exploring new technologies and techniques to improve his skills.