Data Scientist

Woody Adler

**********@*****.*** 801-***-**** linkedin.com/in/woody-adler github.com/wadler91

Projects:

Spotify Hit Predictor

- Uses a dataset of over 6,000 songs from Spotify's API to classify songs as 'hit' or 'flop'

- Performed exploratory data analysis and visualizaiton on the dataset

- Used numpy bootstrapping for statistical analysis

- Created a tuned XGBoost Classification model

Beer Recommender System

- Created a collaborative filtering based recommender system using Scikit-Surprise

- Performed data cleaning and exploaratory data analysis on over 1.5 million reviews

- Created interactive visualazations with plotly

- Built a robust recommender system based on the SVD++ algorithm

Education:

Springboard Data Science Career Track - 2019-2020

- 550+ hours of hands-on curriculum, with 1:1 industry expert mentor oversight,

and completion of 2 in-depth capstone projects.

Mastering skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.

Berklee College of Music - Bachelor of Arts - 2008 - 2012

Skills:

Python, SQL, Tableau, PowerBI, Machine Learning, Statistical Analysis, Data Visualization, Feature Engineering

Work Experience:

Workflow Optimization & Operations Director - School of Rock - 2017 - 2019

Created and managed a database of student information

Optimized enrollment strategies and customer satisfaction

Modernized workflow and scheduling practices

Managed a team of 10 instructors, created and maintained musical curriculum

Promoted and booked performance dates

Maintained and managed all equipment and technology

Show Director - School of Rock - 2012 - 2017

Private guitar and bass instructor.

Directed over 10 season shows consisting of weekly group rehearsals leading up to a live student performance.

Conducted audio and video recording and editing of student performances.

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