# About Zitao Shen (沈子韬)

Hey there! Welcome to my website! I’m excited to share a bit about myself. I proudly graduated with a master’s degree in computer science from Northeastern University and another one in industrial engineering from the University of Minnesota. During my time at the University of Minnesota, I worked as a research assistant at the Health Informatics NLP lab. Now, I’m part of the awesome team at Amazon AWS, rocking it as a software engineer. Feel free to explore more, and if you have any questions, don’t hesitate to reach out!

### Interests

• Software Engineering
• Web Development
• Natural Language Understanding
• Machine Learning

### Education

• M.S. student in Computer Science, 2022

Northeastern University, Seattle

• M.S. student in Industrial Engineering, 2020

University of Minnesota, Twin Cities

• BSc in Mathematics & Statistics, 2018

University of Minnesota, Twin Cities

# Posts

Portfolio for Recent Works

### A Novel Hybrid Classification Model - LightGBM With Neural Net

A novel model which winned a grand price for a competition

### How To Build Your Own Neural Net From The Scratch

Self-written Neural Net with Stochastic Gradient Decent (SGD) For Digit Recognition

### Animation meets Gradient Decent

Visualize gradient decent by using animation

### 3 mins of Machine Learning: Multivariate Gaussian Classifer

Self written multivariate gaussian classifer by python

### 3 mins of Machine Learning: Ada-boost

Self written AdaBoost in R

### Data-Driven Example on using dplyr: Analysis on Airplane Delay

An example on how to apply dplyer

### 3 mins of Reinforcement Learning: Q-Learning

Self written Q-learning in Python

### 3 min of Machine Learning: Cross Vaildation

Self written CV in Python

### Introduction on Multi-stage Robust Optimization

A short introduction Multi-stage Robust Optimization

### Data project on restaurants’ business strategies (Part 2)

PART 2 - Introducing some R data cleaning tricks on organize the text data

### Data project on restaurants’ business strategies (Part 1)

PART 1 - Applying Two-Stage Least Square Regression Analysis on real life data

### An example on logistic regression with the lasso penalty

Self Written Multiclass ROC Curve

### Let SMART be smarter

Using Ordinary Logistic Regression to help SMART Learning Commons improve their costumer service

# Data Visualization by Tableau

“Visualization gives you answers to questions you didn’t know you had”

Hi, those are interactive graphs. Help yourself! :)

# Teaching

I am a teaching assistant for the following course at University of Minnesota, Twin Cities:

• 2018 FALL:

• IE 5080 Topics in IE: Process Transformation through Lean Tools
• 2019 Spring:

• 2019 FALL:

• IE 3521 Statistics, Quality, and Reliability

• IE 5532 Stochastic Models

• 2020 Spring

• IE 4011 Stochastic Models