About

Arnav Gupta is a skilled Data Scientist with a focus on Knowledge Representation and Reasoning models, Semantic Web, Machine Learning, and Graph Networks. He is currently working at Synaptic as a Data Scientist, where he is responsible for developing unique models that bring together all these technology domains to better understand data and its context. Arnav has a Bachelor of Technology degree from Birla Institute of Technology and Science, Pilani, and has worked as a Data Science Intern at Synaptic and a Machine Learning Intern at Avaamo. At Avaamo, he was involved in building an AI-powered chatbot to answer queries on chunks of text and multiple NLP tasks, where he developed a model to answer queries efficiently and accurately to users alongside Google's BERT model. He also researched to improve the state-of-the-art accuracy of Entity Linking (EL) task in large-scale Knowledge Graphs (KG) sentence-level BERT/Infersent embedding to inculcate knowledge graph to answer complex queries. Arnav's technical expertise includes Data Science, Research Science, NLP, Python, ML, Computer Vision, Data Engineering, BERT, Web, AI, TensorFlow, SQL, C, Redis, Docker, Keras, Deep Learning, Spark, Apache Airflow, CI/CD, Kubernetes, Neural Networks, Elastic Search, Flask, AWS, Pytorch, Azure, ResNet, NLU, Neo4j, HDFS, Hyperparameter, CNN, OpenCV, Image Segmentation, Javascript, MongoDB, Kafka, ETL, Mobile, and Apache Hive. Arnav is a highly skilled professional with 3.20 years of relevant experience in the field of Data Science. He has a strong background in Statistical Techniques and Modelling, Knowledge Representation Models, and Graph Theory. He is passionate about developing cutting-edge models that can help organizations gain deeper insights into their data and make informed decisions.