About

Amritanshu Agrawal is an Applied Machine Learning Scientist with over 7 years of experience in the field of Machine Learning, Data Mining, Hyperparameter Tuning, and Topic Modeling. He completed his PhD in Computer Science from North Carolina State University, where he published 10+ papers in top international software engineering conferences and journals such as ICSE, MSR, FSE, IST, and TSE. His research interests include Natural Language Processing (NLP), Data Science, and Optimization. Currently, Amritanshu works as a Scientist III - Applied Machine Learning at Stackline, where he applies his strong conceptual knowledge in Python and working experience on various platforms. He is proficient in working independently and in groups and has excellent interpersonal and communication skills. He is also well-versed in Information Retrieval, Predictive Modeling, Software Engineering processes, Big Data, distributed data computation, and configuration management. Amritanshu has worked with several top companies, including Wayfair, where he built a scalable Price-Value Outlier detection pipeline to identify bad actors and developed Python packages and deployed productionized Machine Learning (ML) and Non-ML models. He also worked at Lucidworks as a Data Scientist Intern, where he improved the Question & Answer system by extracting fitter textual features and achieved accuracy up to 86% using XGboost model. Amritanshu's technical skills include proficiency in Python, MySQL, MongoDB, Spark, Hadoop, Airflow, Google Cloud, Docker, LaTeX, and Github. He is also well-versed in packages such as Scikit-learn, Spacy, Spark mllib, NLTK, Weka, Pandas, Scipy, Numpy, Matplotlib, and Jupyter. Overall, Amritanshu Agrawal is a highly skilled Applied Machine Learning Scientist with a strong background in NLP, Data Science, and Optimization. He has a proven track record of working with top companies and publishing papers in top international conferences and journals.