Hi, I am Bowen
Data Enthusiast
Experience in various Machine Learning projects and statistical research.
Contact MeAbout Me
My Introduction
Data Enthusiast, with extensive knowledge and experience in data analytics, machine learning, and statistical analysis.
Experience
Projects
Worked
Skills
My Technical LevelData Science
More than 3 yearsPython
90%SQL
80%Visualization
70%Machine Learning
70%Statistics
More than 2 yearsR
80%Regression
80%Factor Analysis
70%ANOVA
70%Photograhpy
More than 5 yearsPhotoshop
80%Lightroom
70%Snapseed
90%Qualification
My Personal JourneyBusiness Analytics
Columbia University - NYBusiness and Computer Science
University of British Columbia - BCQuantitative Research Analyst Intern
PIMCO - NYStudent Data Scientist
Noumena - NYData Science Intern
China International Capital Corporation - CNStatistical Modeling Research Assistant
University of British Columbia - BCBusiness Analyst Intern
SAP - BC
Big Data
Research Assistant
University of British Columbia - BC
Clubs & Other Activities
What I Do Outside of SchoolworkBOLT UBC
Co-Founder
UBC CSSA
Marketing Director
Fundraising Art Show
Organizer
Portfolio
Most Recent Work
Yelp Business Review Prediction
An NLP project that predicts user ratings based on comments
using models namely DistilBERT, XGBoost, MultinomialNB, random
forest, SVM, and Logistic Regression. Achieved model accuracy
11% higher than baseline. Also conducted sentiment analysis
and topic summarization.
Technologies used in this project: Python, Transformer,
Scikit-Learn, Topic Summarization, Sentiment Analysis
LendingClub Default Prediction
A credit scoring model that predicts loan default rates with a
3-layered feed-forward neural network model for LendingClub.
Optimized the model with stochastic gradient descent and
achieved an accuracy of 90%. Implemented EarlyStopping and
Dropout to avoid overfitting; added batch normalization for
data scaling, and tested the model with 500 epochs with
different batch sizes to improve performance.
Technologies used in this project: Python, Neural Networks,
TensorFlow
UCI Credit Default Prediction
A Machine Learning project that compares the popular models
such as XGBoost, Catboost, Random Forest, and LightBGM to
predict loan default rates for UCI credit card.
Technologies used in this project: Python, Scikit-Learn,
Numpy, Pandas, Matplotlib, Seaborn
BC Bus Scheduling APP
An Android APP that keeps track of live bus traffic in British
Columbia
Technologies used in this project: Java
Car Rental APP
A rental application that allows customers to reserve cars and
make rentals. It also enables clerks to record rentals and
returns and generate reports for daily branch rentals and
returns.
Technologeis used in this project: Java, SQL, JDBC, SQL Plus,
Oracle
Smart Course Scheduler
Smart Course Scheduler generates course schedules. Users only
need to type in the courses they are planning to take in the
upcoming school years. This application would scrape relevant
information including the courses' required activities,
sections, and class time from UBC's course registration
website. All valid course schedules that do not have time
conflicts would be generated in timetable format.
Technologies used in this project: Java, HTML,
Jsoup, Junit testing, Constraint Networks
UBC Campus Explorer
A web-based application that allows users to perform queries
about courses and rooms. Students can filter courses based on
a variety of features such as year, course average, title,
etc. Users can also customize query results by adding
group-by, ordering, and transformation clauses. Similar
features apply to the rooms.
Technologies used in this project: TypeScript,
JavaScript, Node.JS
COVID Map
A visualization map for possible exposure to covid19.
Technologies used in this project: HTML,
JavaScript, CSS, TypeScript
Contact me if you are interested in hiring someone with extensive data skills!
Contact Me
Contact Me
Get in TouchCall Me
917-547-3523Address
808 Columbus Ave,NY, 10025, United States