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Data Analyst

Location:
New York City, NY
Posted:
January 25, 2019

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Resume:

SOOMIN PARK

Data analyst skilled with data manipulation and analysis in Python, SQL, R and MS Excel. 7+ year of extensive experience in data processing and analysis. Educational background in Computer information systems, finance, and business analytics.

Skills and Expertise

•Programming & Platforms: Python (scikit-learn, pandas, numpy, NLTK) R (dplyr, ggplot2, shiny, caret, plotly) Linux (Ubuntu)

SQL (MySQL/PostgreSQL/Oracle/MS SQL) SQL Server SAS (Base, JMP PRO, Enterprise Miner) Linux Shell Scripting

Web Crawling (Scrapy, BeautifulSoup) Tableau SharePoint and Github MSCI CreditManager Expert

MS Excel Expert (VBA programming, pivot tables, and advanced functions) MS Office Suite (Word, Powerpoint, Outlook, Access)

•Project Management Project Initiation and Implementation Client Management Credit Risk Management

•Certifications: Financial Risk Manager, Part I (2014) Coursera R Programming by Johns Hopkins Univ. (2016) Google Analytics (2017)

Professional Experience

The World Bank Group, Fragility/Conflict group, Washington DC

Data Analytics Consultant

Jan 2018 – Nov 2018

•Conducted extensive research to identify factors and associated relevant data sources that cause famine in developing countries, by reviewing relevant publications and through organizations including FAO (UN Food and Agriculture Organization) and WFP (World Food Programme)

•Published a technical document of research results with selected data sources based on data availability, quantity, completeness, and correctness. Document is currently used as a central resource for famine prediction projects

George Washington University, Washington DC

Teaching and Research Assistant Aug 2017 – Dec 2017

•Teaching Assistant for Programming for Analytics (Python, R); Prepared data and created network of publication co-authors for analysis of collaboration patterns among NIH-supported researchers (Python and R)

Student Social Media Data Analyst (The GWU Libraries Scholarly Technology Group) Jan 2017 – Jul 2017

•Collected and designed derivative datasets from Twitter feeds using various programming platforms (JSON, JQ, Twitter API, Pandas) in support of student and faculty research; Published tutorials and instruction guidelines for social media data processing and analysis

Hyundai Commercial, Risk Management Team, Seoul, Korea

Associate Manager

Mar 2015 – Oct 2015

•Estimated and analyzed monthly credit risk limit and capital amount plans and reported them to executives

•Managed risk database and restructured data table to remedy ineffective data flows (SQL)

Deloitte Consulting, Financial Services Group, Seoul, Korea

Senior Consultant

Jul 2014 – Mar 2015

•Provided financial risk management consulting to two large financial institutions, Korea Federation of SME and Samsung Fire & Marine Insurance, as Technical Advisor and Project Leader Analyzed portfolio to optimize credit risk on various asset classes; Devised and executed Strategic Asset Allocation (SAA) system to incorporate the new strategy in the annual business planning

Korea Risk Management Consulting Firm, Seoul, Korea

Senior Consultant Project Manager

May 2009 – Apr 2014

•Successfully completed six financial risk-related consulting and system building projects for large financial institutions

Developed systems to measure credit risk based on an analysis of the nature of companies and the characteristics of its assets; Designed a new risk management system and data warehouses (SQL, PL-SQL, Javascript); Supervised project planning and implementation phases and led teams of 5-10 consultants and developers for three projects as Project Manager/Leader

Education

NYC Data Science Academy, Data Science Intensive Bootcamp Certificate

Jul 2018 – Oct 2018

George Washington University, M.S., Business Analytics [GPA: 3.9/4.0, Beta Gamma Sigma honor society]

Aug 2016 – Dec 2017

•Coursework: Programming, Big Data Mgt. (Spark, Hadoop, Hive, NoSQL, and AWS), Data Mining, Statistical Modeling, Machine Learning, Optimization Methods, Time Series Forecasting

Illinois Institute of Technology,

Chicago IL

M.S., Financial Markets, IIT Stuart School of Business

•Coursework: Financial Modeling, Trading Strategies, Econometrics, Risk Management

Dec 2008

B.S., Computer Information Systems (Minor in Management), High Honors

May 2006

•Coursework: Programming Languages, Database, Algorithms, Software Engineering, Systems Programming

•Dual degree with Hong-Ik University (Seoul, Korea) as a recipient of Korea Ministry of Information Scholarship

Relevant Projects

• Cleaning and extracting features from unstructured text jewelry item data from retail websites for predicted jewelry fashion trends for a local jewelry retail company (python Regex Logistic Regression Decision Trees Ensemble) (2018, ongoing)

•Developed an interactive R Shiny dashboard to visualize trends and location of armed conflicts in developing countries. [Github, App] (2018)

•Predicted house prices by using a variety of machine learning models. Highly dimensional data benefited from significant feature engineering.

(Python, R Regularized linear regression (Ridge/Lasso/ElasticNet) Random forests Ensemble) [Github, Summary] (2017)

•Examined the important factors that influenced the 2016 presidential election (Twitter API Regression Decision trees R Shiny) (2016)

•Data analysis on DC crime data involving Star Schema structural build in PostgreSQL (2016)

New York, NY 10018

202-***-**** *****.*****@*****.***

LinkedIn GitHub



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