I Am Po-Kai Wang, Lance, Data Scientist, Developer

A master student of computer science in Carleton University.

Lance Po-Kai Wang

A Passionate Data Scientist

Lance Po-Kai Wang is a first-year Masters's student in the School of Computer Science at Carleton University with Data Science specialization. Mainly, Lance is interested in and has a great passion for Recommender Systems Architectures, Evolutionary Computing, Machine Learning Techniques and Innovation Management.

Lance's Master Thesis principally focuses on Data Mining, Social Analysis and NLP. For Data Science, as well Computer Science domain, Lance's critical technical skills include Python, R, SQL, NoSQL, Java, Machine Learning, Web Frameworks, Data Manipulation and Management, Data Visualization, Statistical Analysis and Experiment Design and Validation.

Having experience working as an Internet Engineer of both in Taiwan and Hong Kong and interacting, collaborating with customers all around the world, Lance has not only working-required professional skills but strong analytical, team-working, report-writing and communication skills.

Publications

Research Interests

Recommender Systems

Evolutionary Computing

Mining Software Repositories

Machine Learning

Data Mining

Software Engineering

Technology Fit Models

Skiils

0

Cup of Coffee

30

Project Complete

0

Work Experience

Now - 2018

Internet Engineer

Concord Information Technology (Hong Kong)

Responsible for system design and development of Internet Applications, includes Websites, Data Mining projects. Also, collaborating and comminicating with customers all around the world is required.

Website Engineer (Internship)

Soohoobook Co. (Taiwan)

Responsible for feature design and development of ASP.Net website applications. The skill of balancing the requirements of customers and the feasibilities of reality is required; logical thinking ability is well-trained!

2016 Summer

Projects

RBC Challenges: Twitter Customer Feedback Analysis

A prototype of customer feedback analysis for RBC. The project includes twitter data collection, sentiment analysis and PHP front-page display.

GitHub Issue Recommendation System

The project is a content-based filtering approach for suggesting tasks and projects to GitHub newcomers.

AU MIS Resume System

A System that collects and utilizes students’ academic records and performances for professors and help them organize and evaluate the suitable students for future projects.

Exhibition Support System

This system provides a correspondent information flow for customers, gathering data for participatory companies, and analitical data for hosting organizations during exhibitions.

Drammend - a Film Recommendation System

This system aims to resolve information overload and user fatigue problems in the film field by using the new recommendation framework.

Go Nature ERP System

A system that helps local store to manage, track and deploy their business, products, orders in a centralized platform.

Facts of Real Estate Transactions

A research that implemented data mining techniques to find hidden patterns behind real estates transaction.

17 KM Coastline App

“Hsinchu 17 KM Coastline” is an app that can display attractions to tourists and provide directions for them by using Google Map API.

Skills

Python
R
MySQL
MongoDB
Java
Machine Learning
Data Manipulation
Data Visualization
Statistical Analysis
Experiment Flows
C#
Swift
ASP.Net
PHP
HTML
CSS
JavaScript
Bootstrap
Cucumber
Illustrator
Photoshop
jQuery
PyCharm
Visual Studio