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Software Engineer/ Programming

Location:
New York, New York, United States
Posted:
November 06, 2018

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Resume:

DATA SCIENTIST

MATTHEW HICHAR

Summary

Data Scientist with a passion for creating meaning from complex streams of information. Results driven, curious, and focused not only on answering the questions at hand, but ensuring we ask the right ones. I'm confident working with concrete financial and business data in addition to data in more abstract fields such as music and ride-sharing as well. Data Science Expertise

Ride Share Churn Prediction

• Created and tested multiple models to predict churn for a ride-sharing service. From Russia With Likes

• Performed analysis on the advertisements released to Facebook by the Russian Internet Research Agency.

• Conducted Natural Language Processing to model the text within the ads to find which words in the ads were registering the highest click efficiency.

• Utilized ML-KNN and Gradient Boost to classify topics and model conversion rate of ads.

• Created a web-app that predicts target users based on text and provides useful statistics on the advertisements.

Unsupervised Machine Learning on New York Times Topics

• Using Kmeans clustering and Natural Language Processing, built an unsupervised machine learning model that finds key words in New York Times articles and groups the articles into different sections. Linear Regression on Auction Price of Heavy Machinery Case Study

• Engineered features and created a model that predicts the auction price of heavy machinery and equipment.

Cell Phone Service Churn Prediction

• Created and tested multiple models that successfully predicted churn in cellular users with past cell

-phone data.

Experience

Galvanize Data Science Immersive Program New York, New York Data Science Fellow June 2016 to Sept. 2018

• Leveraged real-world data sets to construct models and perform statistical analysis.

• Utilized Python, SQL, and MongoDB to manipulate data.

• Built supervised and unsupervised machine learning models using a variety of methods including Random Forests, Boosting, Kmeans, and Hierarchical Clustering.

• Utilized Web Scraping and Natural Language Processing to analyze content from websites and articles.

• Built models using neural networks.

• Gained experience using PySpark and Hadoop to work with large data sets. Professional Musician Brooklyn, NY

Multi-Instrumentalist and Composer Nov. 2015 to Jan. 2018

• Performing Musician specializing in Piano, Guitar, and Bass

• Session Musician

• Producer

• Film Composer

• Private Music Instructor

National Australia Bank Sydney Australia

Intern June 2014 to Aug. 2014

• Worked with managing directors to develop and analyze investment strategies.

• Prepared models for presentation on NAB’s superannuation schemes.

• Wrote report examining the Australian Superannuation systems against other countries schemes.

• Analyzed financial reports.

Contact

ac7mem@r.postjobfree.com

781-***-****

mrhichar

!

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# New York, NY

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Education

Brandeis University Jan. 2010 to May 2015

Bachelors Mathematics

Bachelors Economics

Skills

Python

SQL

R

Statistical Analysis

Machine Learning

Neural Networks

Natural Language Processing

Natural Language Toolkit

MongoDB

Financial Modelling

Github

C

Spark

Hadoop

Excel

Pandas

NumPy

Scikit-Learn

Matplotlib

Stata

Bloomberg

Matlab



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