• Organized AI Summit, coordinating outreach with industry leaders, developing targeted marketing campaigns using Mailchimp and LinkedIn, and managing a $1,000 budget for event expenses.• Applied machine learning techniques, including sentiment analysis with NLP libraries and linear regression models, to examine relationship between emotional rhetoric and YouTube popularity• Led multiple teams of 5+ project members by assigning tasks and deadlines to complete and present project by specified deadlines.

• Utilizing Python (Pandas, NumPy, Selenium) and machine learning (OCR, HTR) to design automation software, saving over $15,000 annually. • Developing and documenting streamlined processes for new projects to reduce turnaround time by over 75%; creating technical documentation to be understood by laymen.• Conducting data auditing and quality assurance testing for internal and client programs, including testing and validating Python code, and assessing data changes across multiple databases.• Maintaining and updating legacy code, including reviewing Python scripts.

• Directed a team of 5 researchers to help identify, develop, and implement research procedures and data analysis; completing team objectives ahead of deadline. • Developed a data pipeline using R and Python to transform data into graphical plots, generating over 40 distinct heatmaps and improving data visualization efficiency by over 25%.• Organized and presented research findings to group of 20+ laymen and specialists, helping guide development of the overall research project.