About

Arghyadeep Sarkar is a highly skilled Data Scientist and Founding Engineer with over 6 years of experience in the field. He possesses expertise in Natural Language Processing (NLP), Chatbots, Cloud, DevOps, Deep Learning, and designing software architectures. Currently, he is working as an Associate Data Scientist at Lincode, where he is dealing with technologies like Chat-Bot End to End Product Development, Voice Assistants, NLP, and Exploratory Data Analysis. Arghyadeep has worked on several enterprise-level projects, including Match My Talent - NLP based Query Identification System, FarmX- Crop Quality Analysis System, Edubot - NLP based Chatbot for Educational Institutes, Vessel Detection for defense/space clients to predict the vessels type/movement, and Social Media Analytics. He has also formulated rule-based algorithms for an AI System to understand intricate English structures and solely developed modules to generate syntactic and semantically correct English language responses. Apart from this, Arghyadeep has led a team of linguists and NLP engineers to build a cognitive knowledge ingestion tool that helped linguists create knowledge graphs. He has extensive experience in working with various chatbot frameworks like Google DialogFlow, RASA, Amazon-LEX, and WIT.ai. He has executed the complete life cycle of Data Science projects. Arghyadeep has a Bachelor of Technology degree from JIS College of Engineering and has worked as a Machine Learning Engineer and NLU Engineer at Dataval Analytics Inc. He possesses a wide range of technical skills, including NLP, Data Scientist, Research Scientist, Deep Learning, Python, AI, ML, Image Processing, DevOps, AWS, BERT, NLU, Docker, Neural Networks, Keras, Search, Tensorflow, Pandas, Elastic Search, SVM, Random Forest, Spark, Kubernetes, MongoDB, Integration, Software Engineer, and Django. Overall, Arghyadeep Sarkar is a highly skilled Data Scientist and Founding Engineer with extensive experience in NLP and Chatbots. He possesses a strong technical background and has worked on several enterprise-level projects. He is a valuable asset to any organization looking to leverage the power of Data Science and NLP.