● Develop HTML, CSS, JavaScript, Facebook's React.js, Express.js, MongoDB, Prisma, SQL, and UX/UI design skills by participating in a competitive Innovation Fellowship Progressive Web Development which incorporates a project-based, software engineering curriculum with 400+ hours of technical instruction and professional development● Contribute to MVP deployment for capstone project by executing user research and agile methodology principles in addressing market opportunities with creative technical solutions using project management, communication, and presentation tools like Trello, Jira, Slack, and Google Suite● Engineered and deployed 6+ dynamic projects utilizing HTML, CSS, and JavaScript, ranging from interactive games like Choose Your Adventure and Rock, Paper, Scissors to practical utilities such as Grocery List and Classroom Average calculator, incorporating the Poke API in 'Gotta Fetch 'Em All!', collectively garnering over 10,000 user engagements and fostering both learning and entertainment.

● Managed and supported a caseload of 75+ Fellows in the Braven Accelerator, resulting in a 95% retention rate and a 20% increase in academic mastery. Ensured engagement and academic success throughout the FY24 Course, leading to a 30% improvement in leadership and career readiness skills.● Screened resume, cover letter, and LinkedIn profiles of 78+ Fellows, resulting in a 25% increase in application acceptance rates for internship and job opportunities.● Subbed for Leadership Coaches as needed, delivering impactful engagement to Fellows in cohorts and leading 6+ Learning Labs, resulting in a 15% increase in cohort satisfaction scores and a 40% improvement in learning outcomes.

● Conducted an in-depth analysis of metadata from 31,087 publications sourced by the NASA Goddard Library from 4 prominent external databases, including Web of Science (WOS), Science Direct, IEEE, and Springer leading to a 25% enhancement in data accuracy and a 20% optimization in resource allocation for future research initiatives.● Utilized Python (NumPy, Pandas, Matplotlib, Seaborn) to create 10 comprehensive visualizations showcasing analyzed Goddard publications and missions' metadata from 2001-2019 and 2019, resulting in a 50% improvement in data accessibility and understanding among stakeholders.● Innovated 9 dynamic metadata visualizations using HTML, CSS, and JavaScript (Chart.js, Canvas.js, Node.js) integrated with PapaParse and html2canvas, enriching the user interface of NASA Goddard Library’s Institutional Repository which led to a 30% increase in user engagement and a 40% reduction in data interpretation time.

● Programmed in Python to gather, clean, analyze, and visualize data using scientific libraries, various tools, and technologies helping businesses in decision-making strategies and expediting data processing times by 30%.● Leveraged Machine Learning and Data Science techniques to build classification and predictive models.● Utilized SQL programming to efficiently query and interact with relational databases, facilitating seamless database operations and enabling precise extraction of mission-critical information.

● Immersed in 162+ hours within 8 weeks to achieve skills in the fastest-growing areas of tech: Data Science, Machine Learning, and Artificial Intelligence enhancing proficiency by 50%.● Analyzed, visualized, and performed statistical analysis on various large-scale data sets utilizing Python libraries: NumPy, Pandas, Matplotlib, and Seaborn in Jupyter Notebook/Google Colaboratory.● Trained and compared 2 classification models: Support Vector Machine (SVM) with a 71% accuracy and Decision Trees with a 76% accuracy to predict categorical labels in the World Happiness Report (WHR) dataset.