Rahul Shrivastava
Data Scientist
Contact
RahulShrivastava@westat.comOverview
Rahul Shrivastava is a Data Scientist for Statistics and Data Science with 9 years of experience applying data science and economic analysis. He focuses on helping private- and public-sector clients understand trends, assess risk, and identify opportunities for development and investment at local, national, and international levels.
He leads initiatives that apply machine learning (ML) and artificial intelligence (AI) methods, particularly large language models (LLMs) and natural language processing (NLP) techniques, across various sectors such as healthcare and education. His expertise includes developing and implementing ML/AI methods for privacy-preserving synthetic data generation, information retrieval, classification, and predictive modeling.
Shrivastava has extensive experience working with electronic health records (EHRs), structured and unstructured text data, and large-scale survey data. He also designs and manages data pipelines from APIs and online sources, leveraging cloud, analytics, and database technologies such as Amazon Web Services (AWS), Azure, Databricks, and PostgreSQL. He is proficient in multiple programming and scripting languages, including Python, R, SQL, and Stata.
Education
- MS, Data Science for Public Policy, Georgetown University
- MIB, Hult International Business School, San Francisco
- BA (with honors), Business Economics, University of Delhi, India
Areas of Expertise
Advanced Technologies Analysis and Modeling Data Harmonization and Data Linkage Data Integration, Harmonization, and Complex Analytics Data Privacy Data Science Data Science and Analytics Data Science Infrastructure EHR Harmonization and Analysis Machine Learning and Artificial Intelligence Natural Language Processing and Text Analytics Software Engineering Statistical Methods Survey Statistics Synthetic Data Generation