Conducted extensive research in Computer Science and Information Technology, focusing on statistically analyzing Full-stack Software Engineering, Cyber Security, Machine Learning, AI, and Human Behavioral & Expression Analysis, yielding excellent insights on existing systems.
Performed big data analysis and large dataset manipulations using Tableau, PowerBI, SPSS, SAS, and Python, ensuring 100% accurate insights for research outcomes.
Co-authored an Award-Winning research paper, 'JavaScript Frameworks – A Comparative Analysis Study between React and Angular,' presented at the IRTM Conference in 2023.
Managed a complex Data Visualization project, utilizing SQL, Tableau, MSSQL, and ERD for data analysis and visualization, facilitating data-driven decision-making for departmental courses.
Implemented advanced data analysis on the Georgia Southern University course schedule portal, extracting and cleaning big data to increase data accuracy by over 50% and reduce processing time.
Implemented advanced data cleaning techniques, reducing errors by 70% and enhancing overall security and data quality.
Executed a comprehensive text analysis project leveraging Python programming with pandas, regex, wordcloud, STOPWORDS, and matplotlib.pyplot, successfully managing data loading and sentiment categorization.