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Resume

Scroll for education, professional, skills, and accomplishments below.

View detailed resume in pdf form here.

Resume: Text

Education

August 2018 - May 2020

MS - Interdisciplinary Data Science

Duke University

Relevant Coursework:

Bayesian Statistics, Machine Learning, Modeling and Representation of Data, Data Scraping and Text Analysis, Database Management, Social Network Analysis, Consumer Behavior

Capstone: 

Predicting Purchase Behavior for a Large Financial eCommerce Client Using Recurrent Neural Networks & LSTM Methods with Combined Sequential User Journey Data and Natural Language Processing Signals

August 2009 - May 2013

BA - Economics

Tufts University

Minor:

Media & Communications


Relevant Coursework:

Economic Statistics, Econometrics


Thesis:

Empirical Analysis of Health and the Environment – Life Expectancy in Relation to CO2 Emissions

Resume: CV

Professional

April 2022 - Present

Associate, Decision Sciences

Goldman Sachs

August 2020 - February 2022

Senior Data Scientist

Adelaide Lift

June 2019 - August 2019

Data Science Intern

Imagine Entertainment

September 2014 - February 2018

Account Manager

MRM//McCann

Resume: CV

Skills & Accomplishments

Tools

Languages:

R, Python, Bash/Shell, SQL, SparkSQL

Tools:

numpy, pandas, scikit-learn, keras, GitHub, Tableau (Intermediate), Google Suite, Excel, Amazon SageMaker

Technical Skills:

Data Science, ETL, Statistical Analysis, Machine Learning, Natural Language Processing


Soft Skills:

Account and Project Management, Technical Product Management, Database Management

Activities & Awards


Forever Duke Student Leadership Award Recipient 2020

Duke Alumni Association award recognizing graduating students who embody the “Forever Duke” spirit in their service to the university.

Duke Graduate and Professional Student Council,

Cohort Representative

Served as elected representative to the umbrella student government for all graduate and professional programs at Duke

Duke ASA DataFest 2019 Participant

Created multi-variate time series based predictive model and web-application mock-up to assist the Canadian women’s rugby

team in analyzing and preparing for next-day fatigue

Resume: CV
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