Sungju Park **** Bishop Rd, Plano Texas ***** • 478-***-****

adimkt@r.postjobfree.com• linkedin.com/in/sungjupark0712

mintchococookie.github.io/css-portfolio/

Skills

Python, Data Analysis, Data Visualization, Data Mining, Machine Learning, Statistics, SQL, Python Data Libraries, MATLAB, Java, Excel, Tableau, Computer Vision, Quantitative Modeling, Mathematics, Predictive Analytics, Data Processing, Data Cleaning, A/B Testing, Big Data, Spark, Object-oriented Programming, HTML, CSS, REST APIs, Javascript, Git, Version Control, Jupyter Notebook, Problem Solving, Team-Work, Communication, Collaboration, Technical Reporting, Presentation, Mechanical Engineering, Project Management, English, Korean, Japanese

Work Experience

The University of Texas at Dallas, Richardson TX

Teaching Assistant, 01/2019-Present

Provide guidance and support as a teaching assistant for MECH 3350: Kinematics and Dynamics of Mechanical Systems for undergraduate students.

Key technologies used: Communication, Reporting, Collaboration

Kumho Tire Georgia, Macon GA

Mechanical Engineer, 06/2015-05/2018

Project Management of $60 million machine installations while testing and validating.

Solved problems of machines with a low production rate by data visualization of the problem.

Weekly report of productivity, trouble log, and supervision of technicians to management.

Data analysis on machine failure to figure out the cause from hydraulic intensifier and improve production rate by 95% and defect rate by 50%, saving $100,000 annually.

Key technologies used: Mechanical Engineering, Problem Solving, Team Work, Technical Reporting, Excel

Education

Masters of Science: Mechanical Engineering 2020

The University of Texas at Dallas Richardson, Texas

Bachelors of Science: Mechanical Engineering 2015

Georgia Institute of Technology Atlanta, Georgia

Project

Predictive model of borrowers’ repayment in Lending Club: Deep Learning, Neural Network, Tensorflow, Keras

Neural Network Classification Model predict whether borrower will pay back to lending club using Tensorflow, Keras. Hit the accuracy of 89% to predict the repaid status of borrowers in dataset.

Predictive model of bike rentals in Washington D.C: Supervised Learning, Scikit-Learn, Statistics

Prediction Model that estimates the number of bike rentals in an hour in Washington DC using Regression, Decision Trees, and Random Forest, comparing the performance by RMSE values.

Yelp reviews classification: Natural Language Processing, Statistics

NLP Classification Model that classify yelp reviews into 1- or 5-stars categories based off the text content in reviews. With CountVectorizer and MultinomialNB, model hit 92% precision.

Answering small music business question: SQL, Statistics

Used SQL Queries to answer the music business whether to purchase selected tracks or the whole album. Figure out only 18.6% of customers buy albums so selected tracks is better choice.

Design improvement of pumping mechanisms in daily necessities for efficient recycling: Master’s Thesis

Design a 3d printed ABS plastic spring to replace metallic spring in dispenser pump for efficient recycle based on beam deflection theory and compliant mechanism.

Certification

Data Scientist in Python: Dataquest.io Sep 2020

Python for Data Science and Machine Learning Bootcamp: Udemy Oct 2020

Become a Software Developer: LinkedIn Aug 2020

Become a SQL Developer, Master SQL for Data Science: LinkedIn Sep 2020

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