RESUME

 
Professional ​
info​​

General Assembly, Data Science Immersive Program, Washington, D.C.

Completed full-time immersive Data Science program that included over 500 hours of professional training in 12 weeks. Utilized a hands-on approach to focus on real-world applications of the python language to develop statistical models for multi-linear regression for prediction, advanced classification techniques, natural language processing for a multitude of data types (text, audio and image). Developed a portfolio of individually and collaboratively focused projects, including:


Analysis of Aimes, Iowa Housing: Multi-Linear Regression to predict housing prices
SAT Participation Analysis:  Pandas/Seaborn to develop strategies to maximize participation
Democratic Primary Classifier: NLP to extract identifying phrases used by candidates’ supporters on Reddit

Optimization of Traffic: Used Twitter, Google and Here APIs with gradient boosting to geolocate traffic notifications from social media onto Google maps in real time.

Skills

PANDAS

NLP

KERAS

SKLEARN

STATSMODEL

PYPLOT/SEABORN

TABLEAU

FLASK

DOCKER

Languages
Work​
experience​
General Assembly. Data Science Immersive

​2019 - present

Completed full-time immersive Data Science program in Washington, D.C. that included over 500 hours of professional training in 12 weeks. Utilized a hands-on approach to focus on real-world applications of the python language to develop statistical models for multi-linear regression for prediction, advanced classification techniques, natural language processing for a multitude of data types (text, audio and image). Developed a portfolio of individually and collaboratively focused projects, including:


Democratic Primary Classifier: Used NLP to extract identifying phrases used by candidates’ supporters on Reddit

Optimization of Traffic: Used Twitter, Google and Here APIs, along with machine learning techniques such as NLP tokenization and classification with Spacy and gradient boosting to accurately geolocate traffic notifications from social media onto Google maps in real time.

Brainwave Classification:  Used advanced Neural Network multi-input modeling to categorize brainwaves and other bio-mechanical signal processes by musical tasks.

Analysis of Aimes, Iowa Housing: Multi-Linear Regression to predict housing prices


SAT Participation Analysis:  Pandas/Seaborn to develop strategies to maximize participation

 

Sole Proprietor. Make Music Lessons

​2012 - 2019

 

Built a competitive music lessons business in two states via networking, marketing, word of mouth.In training over 150 students across various instruments, with a focus on musicality, technique, performance, and strategic learning, I have a strong reputation for excellence in the markets of Washington, DC and New York City. 

  • Maintained an average of 35 clients per/year over 10 years

  • Trained a dozen recording artists and professionals

  • Organized annual student performances

 

 

Founding Partner.  Hotspur, LLC

​2004 - 2012

 

Senior thesis turned career, Hotspur began as a study on running a band as a business in the early days of social media, and ended as an multi-time award winning project with fans in over 100 countries

  • Published 4 Studio albums resulting in millions of song streams, 40K records sold, and national radio exp.

  • Booked and performed 1000+ shows across 40+ states  

  • Negotiated and Licensed over 20 songs to television networks and programs.

  • Managed the supply chain for the distribution of dozens of merchandise items.

  • Designed merchandise and  sold over 50,000 items.

FLUENT:

PYTHON

SQL

NEEDS REFRESHING:

HTML/CSS

JAVASCRIPT

SCALA/SPARK

SPANISH

FRENCH

MANDARIN

HEBREW

GERMAn

Education
General Assembly.  Class of ‘19
Data Science Immersive Program,
Washington, DC
 
University of Maryland.  Class of ‘04
​Bachelor of Arts in Management & Music Business,
College Park, MD

Call

T: 516-581-9426 

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