About

Atul Prakash is a versatile and knowledgeable Staff Engineer in Applied Machine Learning at Infineon Technologies. With a focus on Natural Language Processing, Machine Learning, and Deep Learning, he is a full-stack data scientist who is passionate about using his skills to help businesses improve their efficiency and decision-making processes through the use of Artificial Intelligence. Atul is an expert in developing applications that perform competitor analysis, predictive modeling, and information extraction from business data. He has a wealth of experience in handling vast amounts of data, modeling, and extracting insights from them. He is a quick learner, analytical thinker, and creative problem solver who loves to travel and share experiences. With functional experience in NLP, ML, full-stack web development, and AWS and Openshift deployment, Atul is a well-rounded professional. His expertise in text mining, information retrieval, semantic search engine, recommendation engine, and topic modeling is highly sought after. He is also skilled in statistical analysis, predictive modeling, and classification problems. Atul's education background includes a Bachelor of Technology in Computer Science from Lovely Professional University, as well as higher and senior secondary degrees in Mathematics, Science, and IT from D.A.V Public School. His technical skills include ML, NLP, AWS, Information Retrieval, BERT, Web, Word2Vec, Deep Learning, Data Scientist, Research Scientist, and Search. With 3.35 years of relevant experience, Atul is a valuable asset to any organization looking to leverage the power of AI and ML to improve their business processes.