Andrew Vance

Data Analytics Fellowship - Springboard

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 ration of late aircraft delays to overall delays ● Researched pulsar dataset to predict pulsar classification through the creation of alogarithmic regression model ● Conducted initial analysis using Python including libraries such as Matplotlib, Seaborn, Pandas, and NumPythat 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

Marketing Administrator - Meacham/ Oppenheimer, Inc

● Increase company’s industry visibility through successfu lmarketing campaigns expanding toi ndustries and businesses regionally ● Communicate with real estate agents to create a marketing strategy for each listing producing marketing materials and emails for featured properties

Assistant Video Editor - Grokker

● 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

Production Assistant - KSBW

Ensured smooth onset 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