About

Archit Khare is a Research Engineer with 4.45 years of relevant experience in the field of Statistical learning, Optimization, Unsupervised Learning, Supervised Learning, Deep Learning, Natural Language Processing, A/B Testing, and Algorithm design. Currently, he is working at Microsoft as a Data & Applied Scientist II, where he is responsible for enhancing the Microsoft Store experience by improving search, relevance, and app discovery for users. Prior to Microsoft, Archit worked as a Research Engineer at Amex, where he designed deep learning algorithms for anomalies/fraud detection in financial transactions using Siamese recurrent architectures for learning transaction sequence similarity. He also worked as a Senior Applied Data Scientist at Dunnhumby, where he built prediction models for personalized communication with customers and developed deep learning models for customer acquisition and RNN models for predicting customer purchase behavior. Archit holds a Bachelor of Technology degree in Industrial and Production Engineering from Dr. B R Ambedkar National Institute of Technology, Jalandhar. He has also completed a course in Neural Networks and Deep Learning from Coursera. Archit's technical skills include Research Scientist, Python, Deep Learning, NLP, Supervised Learning, Keras, Scikit, Tensorflow, ML, Search, Data Scientist, SQL, SVM, Seaborn, RNN, Word2Vec, Pandas, MySQL, and NoSQL. He is a proficient user of these technologies and has applied them to solve complex business problems. Overall, Archit is a highly skilled Research Engineer with a strong background in statistical learning, deep learning, and natural language processing. He has a proven track record of delivering successful projects and is passionate about using his skills to solve real-world problems.