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Data Marketing

New York, New York, United States
August 28, 2017

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Minkyu Choi

**** *** ******, *** ****, NY ***** 646-***-****


Baruch College CUNY Zicklin School of Business, New York, NY 2014 - 2017

Bachelor of Business Administration Overall GPA: 3.74/4.00 (Major GPA: 3.81/4.00)

Major: Computer Information System in Data Analytics; Minor: Economics, Finance

Course: Adv. Corp. Finance & Investment Analysis, Business Statistics, Regression & Forecasting Modeling, Econometrics, Data Warehousing, Database Mgt Sys, Data Mining, Programming for Analytics, Obj-Orinted Programming, Calculus (I-III)


Argus Verisk, Data Analyst Intern, White Plains, NY Sep 2016 – May 2017

Developed strategies, best practices, and technical requirements to improve data manipulation and analysis

Queried millions of rows of data across multiple databases / servers using MS SQL Server to identify and resolve data issues

Leveraged large sets of data to define benchmark models to enable client’s objectives to better manage data and drive insights

GS Brokerage Firm, Junior Portfolio Analyst, New York, NY May 2015 – Sep 2015

Analyzed financial reports of small-cap value stocks to enhance diversification of the portfolio

Performed technical analyses to calculate expected support and resistance points of listed securities using historical data

Presented a proposal to management on long-term investment targets through technical and fundamental analyses

Conducted day-to-day market research to report changes in market movements regarding major financial market indices

HeyKorean (Non-Profit), Marketing Analyst, New York, NY Feb 2014 – Apr 2014

Developed a go-to-market strategy for organizational re-positioning and promotional initiatives

Defined and utilized various marketing tactics to promote higher customer enrollment, resulting in 10% increase in sales

Managed social presence across SNS platforms including Twitter, Facebook and other Korean social organizations


Risk Matrices Evaluation ‘Implied Volatility vs. Beta,’ Timeseries & Volatility, New York, NY Mar 2017 – May 2017

Identified a set of probable indicator of volatility based on mean-reversion value of the financial market through Time Series and Volatility modeling processes in various R packages

Examined various time-series models with market data indicating mean-reversion performance representing beta and then compared to GARCH model to recognize a better risk indicator

Student Performance Predictive Modeling, Machine Learning, New York, NY Oct 2016 – Jan 2017

Developed a predictive model based on 30+ quantitative & qualitative predictors by using machine learning from R to anticipate a performance of high school student who lives in urban areas

Tested with KNN and GLM, and hit 95% accuracy with GLM method

Data Warehousing for Gaming Industry, Database Management, New York, NY Oct 2016 - Dec 2016

Consolidated and analyzed large sets of data related to the game industry to identify key trends in the financial market with new VR technology introductions

Blueprinted a database and constructed a data warehouse with Pentaho and stored the prepared data queried by MySql

Developed dynamic visualizations and interpretations of key outcomes on Tableau

Boston Home Prices Prediction, Machine Learning, New York, NY Aug 2016 – Oct 2016

Established a housing price model of Boston based on quantitative instances to predictive a price of house in Boston

Worked with a decision-tree algorithm, resulted in increasing accuracy 12%+ compared to regression models by using Python

IBM Watson Case Competition, Deep Learning, New York, NY Sep 2014 – Jan 2015

Utilized IBM Watson program in the education sector to develop recommendations to enhance quality of public education

Proposed Watson Tutoring program to reduce educational gap among college students


United States Army Reserve, Team leader in a Squad, Jersey city, NJ Sep 2015 – Present

Led a team of 4 to 5 soldiers to conduct military training and manage performance

IN2 Onnuri, Budget Coordinator, New York, NY Aug 2016 – May 2017

Developed various initiatives for the young adults group and proposed annual budget requests to be presented to the Board

Managed an annual budget of $20k and tracked actuals spent on individual projects across various teams


Data Science Specialization Track, from Coursera

R Programming, from Data Camp


Computer Language: C++, Python (Numpy, Pandas, Scikit-learn), R-Language, MySql

Computer Software: MS Office (Word, Excel, PowerPoint, Access), Pentaho, Tableau

Language: Proficient in English and Korean

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