KYUCHO

Data Scientist

Machine Learning Engineer

www.qcho1010.com qcho1010 qcho1010 acz9oo@r.postjobfree.com +1-636-***-****

“Nothing is Impossible; We Just Haven’t Found the Way Yet. “ I am Specialized in Quantitative Research, Analysis, Development for the Predictive Models Implemented by Advanced Machine Learning Algorithms such as Deep Learning with Leading Optimization Algorithms and Take the Model from Concept all the way to Production.

EDUCATION

M.S. in Computer Science University of Missouri-St. Louis

• Stock Price Prediction • Evolutionary Computation B.S. in Computer Science University of Missouri-St. Louis

• Machine Learning • Data Mining • Artificial Intelligence PROFESSIONAL EXPERIENCE

Principal Data Scientist at MIMH (2017)

• Building A.I. (Not Black Box) System which Provides the Well Explainable and Interpretable Clinical Treatment Solution Using Advance Machine Learning, Optimization Algorithms such as Deep Learning and Evolutionary Computation.

• Performing Advance Explanatory Analysis to Find the Insight of the HIV Disease Prevention and the Treatment.

• Working Directly with NIH, NIMH, and Government Funded Projects. Research Assistant with Dr. Sharlee Climer (2016)

• Finding Patterns from Alzheimer's Disease using the Gene Expression Data and Protein Level Data.

• Successfully Found 28 Important Gene Expressions out of 8500 that highly Influential to Alzheimer's Disease. Research Assistant with Dr. Wenjie He (2016)

• Developing Automated Theorem Proving Web Platform Using A.I. Tutor for Computer Science Students

• Algorithms and Data Structure in Python

• Data Manipulation and Machine Learning in R

• Compiler

SKILL

Language/Library:

• C++ (5yrs) • C (4yrs) • Java (4yrs) • R (3yrs) • Python (2yrs) • Theano, Tensorflow, Keras (1yr) • pySpark (1yr) • SQL • Shiny Area of Expertise:

• Deep Learning • Ensemble Learning • Transfer Learning • Supervised / Unsupervised Machine Learning

• Evolutionary Computation • Bayesian Optimization • Data Mining / Munging / Visualization / Interpretation

• Quantitative Development / Research / Analysis • Statistical Modeling • Time series Forecasting

• Natural Language Processing • Artificial Intelligence • Linear / Dynamic Programming Publication:

Kyu S. Cho (2017). Ensemble learning with feature selection for Alzheimer's disease prediction. (in-process) Kyu S. Cho (2017). Gated recurrent neural network with an evolutionary algorithm for stock price prediction. (in-process) Certificate:

Data Science (10 mo.) Johns Hopkins University

Big Data (6 mo.) UC San Diego

Data Science & Engineering with Spark (5 mo.) UC Berkeley Machine Learning (5 mo.) University of Washington

Data Science at Scale (4 mo.) University of Washington Statistics with R (6 mo.) Duke University

Data Analysis & Interpretation (5 mo.) Wesleyan University

Training:

Tackling the Challenges of Big Data (6 wk.) MIT

The Analytics Edge (9 wk.) MIT

Advance Statistics with R for the Life Sciences (10 wk.) Harvard Artificial Intelligence University of Missouri-St. Louis Data Mining University of Missouri-St. Louis

Cloud Computing University of Missouri-St. Louis

Evolutionary Computation University of Missouri-St. Louis Advanced Algorithm & Data Structure University of Missouri-St. Louis Android Apps Development (8 wk.) University of Il. Urbana-Champaign ACHIEVEMENT

Project and Research:

(More than 120 projects are completed. Check out www.qcho1010.com for more detail) Finance & Business

• Stock Market Price Prediction • Money Ball and NBA Champion Prediction • Loan Repayment Rate Prediction

• Forecasting Interest Rate by the Fed. Reserve • Box Office Revenue Prediction • Insurance Rate Prediction Automated System

• Next Word Auto-Completion Web App • Automatic Product Sentiment Analysis • Automatic Reviews in Medicine

• Song Recommender • Search Engine Simulator • Letter Recognition • Detecting Vandalism on Wikipedia Medical & Health

• MRI Image Recognition for Finding Brain Tumor • Detecting Flu Epidemic via Search Engine Query Data

• Health Advisor A.I. • Analysis of Disease Control and Prevention • Exercise Manner Prediction Public Benefit

• Potential Homelessness Prediction • Supreme Court Decision vs. ML Model • Potential Voter Prediction

• Potential Crime Area and Blight Status Prediction in Detroit • Potential Parole Violators Prediction Award:

Hackedu at UMSL (1st Place)

• Bluetooth Location Tracker to Prevent the Future Loses Global Hackathon 6 at SLU (Top 10)

• Analytic Platform for Future Homeless Prevention

• Efficient Resource Distribution and Management System Arch hacks 3 at WSU

• Self-Motivated A.I. Health Care System

Golden Key International Honor Society

• For students with academic excellence & career goal Dean’s List

• For students with overall grade 80 and over

Public Speech:

Building Time Series Predictive Model

Apache Spark

Developing Powerful Models

NLP for Next Word Auto-Completion

Mixture Models and EM

Journey to Kaggle Competition

Best Practice for Android Development

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