Data Engineering

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JUSTIN SUMMARY Trinity hkim5@College trincoll.Engineering edu graduate KIM +82 (10)with -6376-a strong 6568 engineering www.linkedin.and analytical com/in/background hkim5 having justin-technical hj-kim expertise DATA in exploratory ANALYST data analysis, data wrangling, python, machine learning, and statistics. Passionate about technology and using data to generate optimal insights EDUCATION Data Currently Science and enrolled solutions. Career in 6-month Track, intensive, Springboard, mentor-San led program Francisco, involving CA two industry-level capstone projects May 2019 - Current 600+ hour curriculum including hands-on experience in the following areas: Python, SQL, machine learning, inferential statistics, data wrangling & storytelling, data visualization, and Spark Trinity B.S Engineering College, 2019 Hartford, CT Sept. 2013 - May 2019 Edward P. Nye Engineering Award 2019

DATA SCIENCE: Data Wrangling, Exploratory Data Analysis, Statistical Modeling, Data Visualization, Predictive Analytics MACHINE LEARNING: Supervised & Unsupervised Learning, Preprocessing, Model Selection, scikit-learn, statsmodels, scipy, numpy, linear & logistic regression, SVM, Random Forests, Naive Bayes, PCA GENERAL SOFTWARE/PROGRAMMING: Python, SQL, R, Matlab, LaTeX, Git, Anaconda, Jupyter Notebook, Microsoft Office, Google Cloud Platform

SKILLS

PROJECTS Fifa Basic 19 Data Player Analysis: Rating and Real World Performance May 2019 - June 2019

- Apply Pandas, Numpy, Matplotlib and Seaborn, study the correlation between Fifa 19 Player ratings and attributes with their corresponding overall rating and wage/value.

Inferential Statistics and Machine Learning:

- Apply z proportion and bootstrap test, find statistically significant attributes that pertain to a player getting under/overpaid.

- Sklearn library used & train the supervised classification K-Neighbors model to predict player position.

- Object - XGBoost Achieved Detection and foreground K-Means using detection Clustering Eigenbackgrounds of animals used to predict in and the natural Logical accurate scene Combinations real using life goal images return taken and previously from a camera unseen trap. correlations Sept., respectively. 2018 - Apr. 2019

- Apply Singular Value Decomposition and Principal Component Analysis to reduce dimensionality and derive common static background.

- Research image processing techniques such as filtering, convolving, diluting, eroding, and masking.

- Investigated logical masking combinations to reduce false positive detection.

- SENMetPLOYMENTLibrary - Built Analyzed Systems, standard international Convolutional International clients’ Neural Business needs Network via Intern, video for conference Seoul, object South Identification calls Korea concerning using specifications Google Colab of and the Tensorflow Smart IoT Keras healthcare June system 2018 - employing Aug. 2018 the Bluetooth tag and scanner system

- Translated and distributed conference logs detailing deliverables, price quotations, and other relevant information Republic - Exercised of defensive Korea Marine responsibilities Corps, on Infantry the Northern Sergeant, Limit 6 Line, Brigade 17km 61 away Battalion from North Weapons Korea Company Aug. 2016 - May 2018

- Facilitated in multiple KMEP’s with US Marines as an interpreter

- Military Occupational Specialty: Heavy Machine Gunner

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