Upon my graduation from General Assembly on October 12th, 2020 — I will be an entirely different worker. Before, I was solely pursuing a Bachelor of Art’s in Music and Business with interests in Pre-Law from Columbia University. But now, I understand that technical skills are endlessly applicable for all of the professional avenues I want to pursue.

Data is Quintessential

The Music Industry relies heavily on Data Science to inform us on how to recommend artists for promotion by record labels, radios, and other distribution brands. In my most recent Data-Based Music Project as a Data Scientist, I scraped around 30,000 song…

Problem Statement

Both a car insurance company and a motor-vehicle owner have a vested commercial interest in being able to estimate a car’s damages caused by natural disasters, floods in particular. The United States 2020 Census recognizes floods as the most common natural disaster in the country, and cars are particularly vulnerable to flood damages due to their internal technologies. The 2019 Mississippi River Floods resulted in 20 Billion Dollars of damages alone.

As a result of these factors, we need to be able to use Visual APIs, Machine Learning, and Neural Networks to systematically label the depths of flooded motor vehicles…

Problem Statement

For my third large-scale project with General Assembly’s Data Science remote intensive: I wanted to work with Natural Language Processing. Imagining myself as a representative of the Match company (that owns Tinder and related dating apps), I wanted to know how similar Tinder and Tinder Stories are as subreddits.

I wanted to state my Problem Statement and Goals for this project very clearly: Could a logistic regression and other classification form of models accurately predict (more than 60–80 % of the time) the difference between a reddit post on “Tinder Stories” and one on “Tinder?” Moreover, what is the most…

The road to becoming a data scientist or data analyst is not a simple one. Nor is it straightforward.

Many online sources recommend that professional Data Scientists pursue a Master’s degree in the field to guarantee success. However, colleges’ data programs often lag behind the rapidly changing tech industry standards for a data scientist’s basic tools. For example, Version 3 of Python itself came out in only 2008, meaning that it is actually impossible to have over 12 years experience with it. Many colleges still teach Python 2 as a default, lagging behind a current industry standard (https://wiki.python.org/moin/SchoolsUsingPython#United_States).

Even New…

Real Estate Sale Prices, Regression, and Classification: Data Science is the Future of Fortune Telling

As we all know, I am unusually blessed with totally-real psychic abilities.

My background as a psychic extends way back to my childhood. On my sixth birthday, my mother got me a full astrological prediction printed out for the next year of my life. I, of course, was disappointed. Not because I was too young for uncanny predictions of the future. But because, I already had the psychic abilities needed to predict my fate. Each morning, I would read the patterns of cheerio-residue leftover in…

A Music/Business Major Learns to Code

Recently, I started to study Data Science through General Assembly: 7am through 3pm every weekday. So, people ask me lots of questions about Data Science now. They’re not the questions I expected.

“During COVID-19, why are you taking a semester off from your Bachelors at Columbia University to study Data Science?” “What does Data Science have to do with business? Much less music.” “What’s musical about Data Science?”

“What’s musical about Data Science?” Well, in a word: everything.

To many contemporary Westerners, the humanities and STEM fields represent entirely different camps of people. For years, conventional wisdom has even divided…