Analysis of Airline Delays: - Analyzed airline data to determine ways to increase airline efficiency by looking into the causes and impacts of flight delays producing data cleaning techniques and preliminary analysis using Excel- Produced final analysis and visualizations with Tableau finding Airlines experiences the most delays, influenced by a larger than average ratio of late aircraft delays to overall delays Analysis of Pulsar Data: - Researched pulsar dataset to predict pulsar classification through the creation of a logarithmic regression model- Conducted initial analysis using Python including libraries such as Matplotlib, Seaborn, Pandas, and NumPy that created logarithmic regression model to predict classification using the Statsmodel Python package- Visualizations were created using Python and Tableau providing analysis which concluded variables Excess Kurtosis and Skewness have the highest correlation to classification- Regression model successfully predicted pulsar classifications with an R-Squared value of 0.71

- Increase company’s industry visibility through successful marketing campaigns expanding to industries and businesses regionally- Communicate with real estate agents to create a marketing strategy for each listing producing marketing materials and emails for featured properties

- Maintained company’s monthly video schedule by producing featured video packages using Adobe Premiere- Created XML metadata for delivery to top SVOD platforms including Roku, Comcast, and Amazon and increased subscriber engagement by creating video content for marketing campaigns

- Ensured smooth on set operations to deliver clean and professional broadcasts to viewers through floor directing and camera operation- Delivered timely video packages to producers for quick production and broadcast planning

- Edited short videos showcasing clients’ yearly growth at Hope.- Helped produce and implement a media workflow; easing ingest, production, and delivery of videos.