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Data Programmer
Chemonics International •  April 2019 - Present
Managing collection, processing, and analysis of supply chain stock data in 17 countries and 14,000 facilities • Led user story and ER diagram development, developed SQL query structure and table structure for 1 million records on Microsoft Azure SQL database • Implemented processes in Python to identify outliers in data using k-means clustering and Interquartile Range • Developed ARIMA model in Python with 63% accuracy to forecast stock on hand and average monthly consumption of products • Optimized and reduced data processing time by 30% by creating a pipeline of automated Python scripts • Created an interactive dashboard for business stakeholders using HTML, CSS, and JavaScript to visualize stock status and consumption of products in different countries
Education
University of Maryland at College Park, College Park
Computer Information Systems, MS•  2017 - 2018
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