Close

Kaijuan Xing

Data Eagernest

Download Resume

About Me

I'm Kaijuan Xing(KX). I'm a master student at UT Austin iSchool, with an interest in Data Science and Machine Learning. If you found yourself talking a lot about "Virtual Assistant", "AI", "Chatbot", "NLP", "Cognitive Science", I'm with you! If you like "Metallica", "Iron Madien", then I like you! I am a punky girl and have some fun facts: 1. I use a different name for each Starbucks store 2. I love the smell of gas and paint.

I want to be a Data Scientist with particular interest in NLP to power human-computer conversation or interaction. I have been involved in some chatbot development projects during my internship at AT&T, where I participated several different chatbots with different function like "schedule vacation" and "technician workflow optimization" and etc. I utilized the skills I learnt from iShcool like "Data Wrangling", "Database Management", "Machine Learning" and "Metadata generation". These skills all give me better understanding of the problem arised from big data and how to solve it by process.

Path

AT&T

Sr.Specialist--Data Scientist

AT&T

Data Analytics Co-op Intern

Buid and Design chatbot evaluation metrics to monitor chatbot performance(intents understanding, conversation completion), chatbot development project management(time and cost saving), chatbots functioning status('up' bot, number of user interacted with) Developed chatbot dashboard for internal usage analysis, built unsupervised machine learning model to group bot functions.

AT&T

Big Data Intern

Developed chatbots in Python using SDKs from Amazon Lex, IBM Watson and Common Machine Learning Platform. Developed Django program to train Natural Language Processing (NLP) models applying CMLP microServices and deployed production pipeline hosted on Kubernetes.

Education

University of Texas at Austin

Aug 2016 - May 2018

Master of Science in Information Studies

China University of Petroleum, Beijing

Sept 2016 - Sept 2017

Bachelor of Business Management in Management Information Systems

Projects

Toxic Comment Classification

Build a model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate for online social media's comments. The model is based on RNN and char-ngram.

View Project

ios development -- "Incognito" social app development

An anoymous secrets sharing app targeted at UT students. Users are free to explore posts around them and comment on any post as being anoymous in the 'Incognito' way.

View Project

Web development -- Online book sharing portal

Developed a book/author/publisher information searching web application hosted on Google Cloud Platform using Flask. Processed raw JSON data to Postgres database using Flask Sqlalchemy and programmed unit tests to test database models and deployed on Travis CI. View Project

Data Mining and Analysis of Answer Ranking for Chinese Quora -- Zhihu

Implemented WebCrawler to extract metadata information about question/questioner, answer/answerer. Pre-processed data for generating features and trained model using Logistic Regression to test answer rating at open question/answer community

View Project

Skills

Get in Touch