Data Analyst of four years following a lifetime of art and humanities. Adept abstract thinker, creative problem solver, and academic writer with proficienies in Python, SQL, VBA, Excel, JavaScript, and MongoDB thanks to education in both technical and liberal arts. As a person with an artistic background, I am very drawn to the storytelling element of this discipline. Working in the wholesale fashion industry, I invariably present findings to non-technical audiences, and I find storytelling empowers me to do so.
Currently, I am attending the USC Viterbi School of Engineering Analytics Bootcamp, expecting to graduate in December 2018. Though self-taught in VBA, HTML, CSS, JavaScript, and Python, my skillset expanded expontentially on being surrounded by other analyts for the first time.
Research into relationship between Health Score and Yelp Reviews.
A data set from the U.S. Census Bureau and the Behavioral Risk Factor Surveillance System was provided to explore any trends between a number of health/risk indicators: access to healthcare, smoking, obesity, age, poverty rate by state.
Calls for the 100 most recent tweet from several news sources and performs sentiment analysis upon each of them in order to gauge the mood of the news at the moment. Each tweet is visualized individually in addition to a normalized score for each news source.
Tasked with compiling weather data from Open Weather API in order to visualize data for 500 + cities. Visuals and analysis based on latitude, humidity, max temperature, cloud cover, and wind speed.