Portfolio


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.

Projects


Yelp! I Got Food Poisoning!

Welp...
Data Munging, Visualizaiton, and Analysis
Python, Pandas, Google Map API, Yelp API, Statistics, Matplotlib

Research into relationship between Health Score and Yelp Reviews.

Earthquake Leaflet

Shake it off
Data Visualization Demo
Leaflet.js, JavaScript, HTML, CSS

Map of all earthquakes ocurring the past seven days based on live updates from US Geological Survey. Fault lines are also illustrated to explore corellation between tectonic plates and seismic activity.

Risk Factor Surveillance

Risky health
Data Visualization Demo
D3.js, JavaScript, HTML, CSS

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.

Feeling Out the News Mood

good news
Social Analytics Demo
Python, Twitter API via tweepy, Pandas, Matplotlib, VADER sentiment analysis

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.

Calling Open Weather

singing in the rain
Data Munging via API and Analysis Demo
Python, Open Weather API, Pandas, Numpy, Matplotlib

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.

Pandas Challenge: Heroes of Pymoli

pymoli
Retail Data Analytics Demo
Python, Numpy, Pandas

User and product analysis based on mock data for a video game.

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