Kush Tekriwal

Kush Tekriwal has a comprehensive background in data science and machine learning, with experience spanning various roles and organizations. Kush began as a Data Analyst Intern at OrderIn, where an analysis of sales data led to a 12% improvement in sales. Following this, Kush worked as a Data Engineer Intern at PATH, creating an ETL pipeline, and gained research experience as a Graduate Researcher at the University of Washington, authoring a paper for the CSCW conference. As a Data Science Intern at Hach, Kush developed a model that optimized coagulant dosage for customers, resulting in significant cost savings. Subsequent roles included a Machine Learning Fellow at Fellowship.AI and Climatebase, where Kush developed advanced models, and a Machine Learning Engineer position at Aquatic Informatics, focusing on wastewater treatment operations and mentoring interns. Currently, Kush serves as a Software Engineer in Machine Learning at Meta. Graduate education includes a Master’s degree in Data Science from the University of Washington.