About

Aryan Singh is a highly experienced Data Scientist with a passion for Natural Language Processing (NLP) and Graph Neural Networks. He is currently working as an Applied Scientist 2 at Microsoft, where he is revolutionizing design creation using AI. Aryan has over 7 years of experience in data science, having worked with some of the biggest companies in retail, transportation, e-commerce, leisure, and healthcare domains. He has spent a year each in the US and UAE, solving problems with data, and has also worked with clients in Denmark, UK, and Switzerland. Aryan is currently leading a team of analysts and senior analysts at Novartis, where he is responsible for building data science products to solve healthcare challenges in the fields of global value access, market analytics, and customer 360. He has more than 15 data products running in production, spanning across Demand Forecasting, Marketing Analytics, Customer Analytics, Text Summarization, QA Systems, and recommender systems. Aryan is a technology expert with experience in building scalable ML systems using Pyspark and Hive. He is proficient in Python, R, SQL, Scikit-Learn, Keras, and Pytorch. Aryan's experiences range from building a contextual QA and information retrieval system for his value access teams to building personalized tactic sequences and content for HCPs. In his free time, Aryan loves playing chess, and his favorite opening is King's gambit. He has also authored and reviewed courses on Machine Learning and Deep Learning at Packt. Aryan holds a Master of Technology in Data Science from IIT Hyderabad, a Master of Science in Artificial Intelligence from Liverpool John Moores University, and a Post Graduate Diploma in Machine Learning and AI from IIIT Bangalore. He also has a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from Guru Nanak Dev University and a Senior School Certificate in PCM from D.A.V Public School, Amritsar. Aryan's TechStack includes Research Scientist, Python, Data Scientist, AI, NLP, ML, SQL, qa, Keras, Deep Learning, Computer Vision, Information Retrieval, Scikit, Pytorch, Neural Networks, XGBoost, Spring, Apache Hive, test, Pandas, Spring Boot, Naive Bayes, ResNet, NLU, Software Engineer, Neo4j, CNN, RNN, Word2Vec, Big Data, Tensorflow, MongoDB, Cassandra, iOS, Integration,