Dynamic professional with experience at University of Texas at Arlington, specializing in data analysis and event management. Demonstrated success in enhancing community engagement and optimizing operational processes. Proficient in Microsoft Excel and conflict resolution, leading initiatives that promote collaboration and growth. Focused on implementing AI-driven strategies for innovative solutions.
Addressing Misinformation on Facebook: Sales Pitch and Research Leadership, 12/01/24, Led a team to create a sales pitch addressing fake news on Facebook with AI-based content scanning and human verification., Conducted research on misinformation and proposed actionable solutions to improve Facebook's credibility., Organized and presented findings through a professional sales pitch, showcasing strong leadership and communication skills. Med-Minder App, MongoDB, HTML, Flutter, Firebase, Python, 10/01/23, Designed and developed a user-friendly medication management app using Flutter, Firebase, and MongoDB., Integrated real-time tracking and family monitoring features with Google Cloud, JavaScript, and Python., Streamlined functionality and enhanced UX through GitHub, HTML, and CSS for seamless performance., Implemented error prevention measures to ensure reliable and secure medication management. Data Analytics for Psychological Research, Spigot API, Java, Maven, TravisCI, Git, 06/01/22, Led data analytics efforts for the research paper, analyzing survey data of 143 adolescents to study correlations between self-esteem, gratitude, and mental well-being., Created detailed reports and visualizations using Excel, SPSS, and Git to track key insights., Utilized Power BI and statistical tools for data visualization and predictive modeling., Assisted in forecasting trends and risk assessment to strengthen data-driven decision-making., Prepared comprehensive data reports, summarizing findings and supporting the paper's conclusions on self-esteem and gratitude as predictors of mental well-being. Understanding and Visualizing Data with Python, University of Michigan Coursera, 07/01/22, Developed expertise in data analysis and visualization using Python, mastering libraries like Pandas, Matplotlib, and Seaborn for effective data manipulation and representation., Applied data cleaning and exploratory data analysis (EDA) techniques on real-world datasets, creating visualizations to identify trends, patterns, and relationships in data., Gained practical experience in communicating insights through visualizations, building a strong foundation for advanced data science and analytics tasks.