Data Analysis, R, Python, SQL, Machine Learning

Hyunyoung Shin

*** ********* **, *** ****, NY ***25 646-***-**** ******@********.***

Github: https://github.com/oliviahs/Projects LinkedIn: https://www.linkedin.com/in/olivia-hyunyoung-shin-33765789/

EDUCATION

Columbia University (New York, New York) Expected Dec 2020

M.A. in Quantitative Methods in the Social Sciences, Data Science Focus (STEM)

Relevant Coursework: Data Mining Data Analysis Data Visualization Machine Learning Modern Data Structures

Social Network Analysis People Analytics and Strategy Practicum in Large-Scale Data Quantitative Theory and Methodology

Hongik University (Seoul, South Korea) Mar 2011 – Feb 2016

B.A. in English Education

American University (Washington D.C.) Aug 2013 – May 2014

AU Study Abroad Program

TECHNICAL SKILLS

R (Advanced), ®Markdown via RStudio; Text Analysis, Data Visualization, Supervised Learning, Python (Intermediate), SQL (Intermediate), MS Office

PROJECTS Sept 2019 – Dec 2019

Sentiment Analysis and Classification of Customer Complaints from IBM (Team Project)

Conducted Natural Language Processing exercise to extract meaning from customer complaints data in collaboration with IBM

Measured negative sentiment scores by state and company, using Afinn and NRC dictionaries and visualized how certain states showed higher consumer dissatisfaction to give insights on the use of customer experience resources with dplyr, tidytext, textdata, ggplot2, stringr, tm, topicmodels, wordcloud, maps, and mapproj R packages

Trained binary classification models, including penalized logistic regression, linear discriminant analysis and quadric discriminant analysis to predict product category from customer narratives with 73.5% accuracy using caret R package

Analysis of Employee Turnover Intention with Regression Models

Analyzed data collected through General Social Survey (GSS) independently to measure the effect of compensation and reward, work intensity, and the opportunity for growth on employee’s intention to leave the company by running multiple linear regression and ordinal logistic regression with ordinal, psych, caret, ltm, psy R packages

People Analytics and Strategy

Analyzed company data with 2000 applicants to predict the best predictors of hiring by running linear regression model

Made tables and visualized the data to access the best predictor for job performance

Extracted top 20 people who should have been hired/rejected, based on the predictors formulated, to provide insight on hiring strategy for the company

Predictive Modeling of Graduation Rate using U.S. News and World Report’s College data

Developed Ordinary Least Squared Model and Generalized Additive Model after extracting features that minimized AIC in order to predict Colleges’ Graduation Rate and reduced the error by 17.6% with caret and gam R packages

Analysis of Scottish Witchcraft data with SQL

Analyzed Scottish Witchcraft data by merging tables to calculate the number of trials, confessions and the share of trials with confessions recorded utilizing MySQL database and DBI packages

WORK EXPERIENCE

Jinseon Girls’ High School, English Teacher (Seoul, South Korea) Mar 2019 – Jun 2019

Analyzed students’ level of English proficiency and developed coursework to teach English for 120 high-performing 10th grade students.

Organized and executed midterm and final exams by creating multiple choice questions, short answer questions and rubrics for student assessment in collaboration with other English teachers

Hyehwa Girls’ High School, English Teacher (Seoul, South Korea) Aug 2017 – Feb 2018

Organized level-differentiated English classroom for 60+ low-performing 10th grade students aligning with their needs and analyzed their proficiency by conducting performance assessments

Developed English Camp curriculum by utilizing “1001 Stories Project”, the Global Citizenship Education Program, with assistance from Dr. Paul Kim of Stanford University

LEADERSHIP & INVOLVEMENT

The Center for Diversity and Inclusion (American University), Member of Dialogue Development Group Feb 2014 – Apr 2014

Jumpstart in D.C., Mentor for Pre-K aged children from low-income neighborhoods Jan 2014 – May 2014

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