About

Himanshu Chaudhary is an experienced Data Scientist with a strong background in Artificial Intelligence. He is currently working as a Data Scientist 2 at Mastercard AI Garage, where he has been responsible for building state-of-the-art hierarchical Bert-based models for transfer learning, developing recommendation models, and creating new graph-based features for fraud detection models. His work has led to an estimated increase of $30 million worth of transactions monthly and improved model performance by at least 5%. Prior to his current role, Himanshu worked as a Data Scientist 1 at Mastercard, where he fine-tuned pretrained models and built recommendation models to assist customers in amplifying their revenue with targeted campaigns. He also worked as a Summer Intern at Samsung, where he added new tables to the server's database and developed a new API to synchronize call and message logs on multiple devices. Himanshu holds a Bachelor of Technology in Electrical Engineering from the Indian Institute of Technology, Roorkee. He has a strong technical skill set, including expertise in Machine Learning, Deep Learning, SQL, Apache Spark, Tree-based Algorithms, Statistics, and Python. He is also proficient in Computer Vision, NLP, TensorFlow, PyTorch, XGBoost, Backend, Keras, Adversarial Networks, GAN, Neural Networks, MySQL, Hadoop, Django, and Apache Hive. With 3.19 years of relevant experience, Himanshu is a skilled and accomplished Data Scientist and Research Scientist, with a passion for developing innovative solutions using AI and Machine Learning. He is a strong engineering professional with a proven track record of delivering high-quality results and driving business growth.