Arkansas State University

Applied design of experiments for student groups of 50, adhering to IRB protocols to enhance understanding of alphabets and numbers by the
student group
Employed SAS and R to meticulously analyze and counterbalance pilot test output data, extracting valuable insights
Implemented project efficiency enhancements by introducing rigorous significance testing methodologies and deploying a diverse array of
statistical tools and procedures in SAS

Arkansas State University

Leveraged R programming (dplyr, tidyr, ggplot2, shiny) to analyze genome data within a pollutant research context, yielding valuable insights into
gene expression patterns
Conclusively identified phosphorus as having one of the most pronounced and statistically significant impacts on genome expression
Assisted doctors from Arkansas State University in analyzing inpatient and outpatient data using SAS
Conducted data cleaning and augmentation, removed outliers to eliminate bias, and utilized the refined data for experimental design
Conducted interactive training sessions for over 70 students, equipping them with the skills necessary to pass SAS Base exams with a pass rate of
90%
Collaborated with instructors to develop comprehensive study guides for a course of 50 students, resulting in a class average increase of 10% on the
final exam compared to previous semesters
Utilized R to analyze data from virtual tutoring sessions (Surveys, Grades, Session Attributes), identifying areas of improvement and implementing
targeted strategies that resulted in a 15% increase in student performance

Sahooji

Implemented efficient data management strategies that ensured the accuracy and reliability of data used for decision-making processes, resulting
in a 15% increase in overall data quality
Conducted comprehensive data analysis using advanced Excel functions and pivot tables to identify key trends and patterns, resulting in a 15%
increase in sales revenue
Implemented data-driven forecasting model that accurately predicted customer demand, reducing inventory costs by 10% and improving order
fulfillment by 20%

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