Updated Resume specialized in Machine Learning, Deep Learning(Artificial Intelligence)

1. SOFTWARE DEVELOPER: INTERN
Zapptitude, Inc. | Mountain View, CA | May 2018 – August 2018
• Developed a native Android application for first grade math per Common Core Standards using Zapptitude’s
assessment analytics SDK to track students’ application usage.
• Sketched product design using Trello, Invision, and Model-View-Presenter. Built and implemented the application
using Java and implemented in Android Studio.
IT ADMINISTRATOR: INTERN
Zuckerberg San Francisco General Hospital and Trauma Center, Department of Public Health |
San Francisco, CA | July 2017 – April 2018
• Supported services utilizing IP data networks including servers, workstations, healthcare administrative software
applications (AeroScout RTLS), VoIP phones, Audio Visual Services, building security systems, patient telemetry,
and telehealth applications.
• Worked with Convergent Technologies partners to provide IT service transition, unified communications, clinical
communication systems, telehealth services, Stryker and Cisco Spark.
PROGRAMMING TUTOR
City College of San Francisco | San Francisco, CA | August 2015 – May 2018
• Tutored students in computer-related subjects (Java and Linux OS).
• Assisted the faculty monitors and the Technical Support Staff with everyday lab operations.
SHAN KWAN CHO
TWITTER SENTIMENT ANALYSIS
• Built, trained, and tested multiple classification models to detect whether certain tweets were hate speech or not.
• Initially developed a predictive model on raw data without pre-processing, achieved bad average prediction
accuracy of only 61%.
• Addressed the issue of poor model performance by conducting data pre-processing involving using the bag of
words technique to generate more precise features.
• Achieved 72 % of accuracy by developing Linear Support Vector Machine classifier along with own developed
features.
Utilized: Numpy, Pandas, Seaborne, Scikit-Learn, Random Forest, Linear Support Vector Machine
ELO MERCHANT CATEGORY RECOMMENDATION
• Participated in a Kaggle Competition that focused on helping ELO, a Brazilian payments company, developed
algorithms to offer personalized promotions and discounts to consumers and helped business partners to drive
economic growth.
• Sampled and merged business data from different sources, performed pre-processing on the aggregated data,
and conducted feature engineering to remove outliers, performed categorical embedding, and extracted new
features.
• Built LightGBM and CatBoost models, applied stratifiedKFold for model optimization, and generated predictions
of customer loyalty metric, landing in the top 16% of the competition.
Utilized: Numpy, Pandas, TimeSeries, Scikit-Learn, Lightgbm, Catboost
LOAN ELIGIBILITY PREDICTION
• Participated in an Analytics Vidhya Competition that involved in developing a real-time classification system to
determine whether or not customers are eligible for home loans
• Performed data pre-processing and feature engineering in order to determine which features are most relevant to
predicting home loan eligibility.
• Built a XGBoost classification model, used the grid search algorithm for model optimization, and evaluated model
performance using a Confusion matrix,
Utilized: Logistic Regression, Decision Tree, Random Forest, XGboost, NumPy, Panda, Matplotlib
GOOGLE OPENING STOCK PRICE
• Predicted Google opening stock price based on last 5 years’ data of Google Stock Price
• Used RNN(LSTM) alongside Keras framework based on data structure with 60 timesteps with 1 output, or based on
the trends during the 60 Time Steps; obtained loss of 0.023
Utilized: Deep Learning, RNN, LSTM, Machine Learning, Keras
CONTACT EXPERIENCES
MACHINE LEARNING/ DEEP LEARNING
Academy Bootcamp | mlacademy.io
December 2018
DEEP LEARNING SPEACIALIZATION
Deeplearning.ai | coursera.org
February 2019
RECOGNITION OF COMPLETION
Google Cloud |Cloud On Board
May 2018
415-695-4576
shankwancho@gmail.com
San Francisco, CA
linkedin.com/in/shancho
SKILLS
Programming Languages:
Python, Java, C, C++
HTML, CSS, JavaScript, PHP,
Bootstrap, MySQL
Technologies:
Git, GitHub, Google Cloud
Platform, Android Studio, Trello,
Cisco Spark
AI/ML: Tensorflow, PyTorch,
Keras, Time Series, Sci-kit Learn,
OpenCV, Neural Networks, ANN
PROJECTS
EDUCATION
BACHELORS |
COMPUTER SCIENCE |
MINOR in MATHEMATICS
San Francisco State University |
San Francisco, CA
2017 – May 2019
ASSOCIATES | MATHEMATICS &
COMPUTER SCIENCE
City College of San Francisco |
San Francisco, CA
2014 – 2017
CERTIFICATIONS
Objective: Seeking an internship or career opportunity that will allow me to utilize my problem-solving skills and attention to detail to further
develop my abilities in the field of computer science; specialization in machine learning, deep learning, and artificial intelligence.
github.com/ShanKwanCho
shancho.me