I individually or jointly accomplished the following projects
I individually or jointly accomplished the following projects
I individually or jointly accomplished the following projects
I individually or jointly accomplished the following projects
PROJECTS
I individually or jointly accomplished the following projects, involving AI, machine learning, big data, database management, optimization, simulation, etc.
I individually or jointly accomplished the following projects
Project 1
Employed clustering, PCA, lasso based on logistic regression, classification tree, random forest, svm, and stacking, to identify fraud transaction for an E-Commercial company, from data cleansing, modeling, model evaluation, to presentation
# Machine Learning
# R
# logistic regression [lasso]
# classification tree,SVM
# random forest, stacking
# k-means clustering, PCA
Apr 15, 2019
Project 2
Hall of Famer Prediction
Employed logistic regression, LDA, QDA, and KNN to predict whether a baseball players will become a Hall of Famer, from data collection, data cleansing, modeling, model evaluation, to presentation
# Machine Learning
# R
# logistic regression
# LDA, QDA
# KNN
Dec 10, 2018
Project 3
Designed an optimization model
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to determine the right number and right locations of distribution centers based on the company's customer zone and plant locations
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to determine when to use ground transportation and when to use air transportation
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to balance transportation cost and delivery time
# Gurobi
# Python
# Supply Chain Management
# Distribution center selection
# Optimization
Mar 27, 2019
Project 4
Portfolio Selection
Designed an optimization model to help users select a portfolio of NASDAQ stocks, achieving highest rate of return with a given risk tolerance level
# Gurobi
# SQL
# Python
# NASDAQ stock, portfolio
# Optimization
Dec 8, 2018
Developed an analytical database(star schema) to analyze readmission rates of health care institutions; from conceptual design, logical design, data loading(MySQL), ETL(Alteryx), to querying and visualization(Tableau)
# MySQL
# ETL
# Data Warehousing
# Alteryx
# Star Schema
#Tableau
Dec 12, 2018
Project 5
Project 6
Cleaned survey data by Tableau Prep, analyzed & visualized the survey result byTableau, and communicated important findings to relevant committee
# Tableau
# Data cleansing
# Tableau Prep
# Survey analysis
Feb 26, 2019
Designed an artificial neural network model to predict the suicide rate for a group of people based on seven predictors, with an experiment plan to find best parameters such as optimizer, learning rate, unit numbers of layers, and activation functions by grid search
# Artificial neural network (ANN)
# Grid search
# Keras
# Python
# Deep learning
Apr 20, 2019
Project 7
Build both an artificial neural network (ANN) regressor and an ANN classifier to predict the quality of wine by 11 predictors.
# Artificial neural network (ANN)
# Keras
# Python
# Deep learning
Feb 21, 2019
Mar 21, 2019
Project 8
Built convolutional neural networks to do multi-categorical image classification based on CIFAR-10 dataset. The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes - airplanes, cars, birds, cats, deer, dogs, frogs, horses, ships, and trucks.
# Convolutional neural network (CNN)
# Keras
# Python
# Deep learning
Feb 26, 2019
Project 9
Designed recurrent neural networks to automatically write news titles, trained by 1,103,663 news headlines over 15 years, that is provided by Australian Broadcasting Corporation (ABC)
# Recurrent neural network (RNN)
# Text analysis
# Keras
# Python
# Deep learning
Mar 21, 2019
Project 10
Project 11
Credit Risk System
Designed and implemented the first automatic credit risk reporting system by VBA as an financial analyst intern in Siemens Financial Service Ltd, enabling managers to analyze risk data across any timeframe and generate report automatically
# VBA programming
# Risk management
# Automatic reporting
Nov 1, 2017
I created the following visualization samples.
