And that's Rocko... he's a good boy.
I'm a data scientist with a strong artistic background,
specializing in predictive modeling, storytelling, and communication.
Scroll down if you'd like to learn a little more about me or what data science even is, or
jump right to my projects instead.
Because of my distinct career and educational paths, particularly through the arts, I'm very passionate about telling meaningful and effective stories, collaborating with diverse and multi-disciplinary teams, analyzing and dissecting not only what didn't work but what did work as well, and always learning new things and stretching my abilities.
Data science is a broad, interdisciplinary field that blends
data inference, algorithm development, and scientific methods
to extract knowledge, patterns, questions, and insights from data,
big and small.
Using everything from statistical analysis to machine learning and
artificial intelligence, data science encourages us to discover and
understand the hows & whys of the data that's
produced by our modern world – making everything from recommendations on
Netflix, to Siri, self-driving cars, and better hurricane forecasting,
possible.
In 2012, IBM estimated that every day, 2.5 exabytes of data are generated.
(1 exabyte = 1,000,000 terabytes.)
According to Forbes and Oracle, the availability of all that
daily data has simultaneously altered
business models of old industries and enabled
the creation of new ones. Data-driven businesses were worth $1.2 trillion
in 2020, up from $333 million only 5 years earlier.
Data scientists break down those exabytes of data into digestible,
actionable bits of information... and then use it to transform our modern world.
For my very first project as a data scientist, I documented my
self-guided exploration of a dataset of the over 48,000 Airbnb
listings in all five boroughs of New York City.
This led to some very interesting discoveries, questions,
investigations, hypotheses, and visualizations...
Collaborating with stakeholders and a cross-functional team,
I architected and engineered core data science models &
infrastructure to enable this next generation of conservation
in Africa's Congo Basin:
A centralized, government-oriented reporting platform for tracking
species biodiversity and deforestation.
As tribute to my fascination with all things space (spaaaaacee), this project was designed to assist with predicting if a given asteroid could cause harm to life on Earth – if it's a Physically Hazardous Asteroid.
Deployed app Github repository