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Data Scientist
Walmart•  September 2021 - April 2023
• Devised machine learning models to forecast items demand utilizing macroeconomic factors with accuracy of 80% • Automated data pipeline using Python/Spark/SQL which reduce the forecast delay by 60% • Investigate the price elasticity to establish the effect of price on demand which helped in 500 BP increase in accuracy • Designed dashboards that enable stakeholders to quickly identify trends, patterns, and outliers. • Collaborated with stakeholders to develop project plans and timelines for model development and implementation. • Applied prophet, neural prophet, Deep AR, karas, TensorFlow and MLflow to create ML models for the project
Education
University of Texas at Dallas, Richardson
Business Analytics, MS•  August 2019 - Present
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