Python, Machine Learning

Weihao(Tim) Han

Unit ****, **** *** St NW,

Edmonton AB,T6G 1K7

587-***-**** ****@********.**

GitHub: https://github.com/GorTIm

HIGHLIGHTS

5+ years’ experience in Python programming

3.3/4.0 GPA on average over all Mathematic and statistical courses

Great passion and hands-on experience of solving regression and classification problem in Machine Learning field

EDUCATION

Bachelor of Science Major: Computing Science and Mathematics University of Alberta, Edmonton Graduation Date: May 2019

Main Courses: Machine learning, Intelligent System, Database management, Statistics SPECIAL SKILLS

Computer language: C, Python, Lisp, Prolog, SQL

Database management system: Oracle, SQLite3

Search and simulation: Minimax, Alpha beta pruning, probabilistic simulation, Monte Carlo tree search (MCTS)

Language: Proficient oral and written ability of Cantonese and Mandarin PREVIOUS EXPERIENCE

Volunteer Sep 2018-present

Chinese International Student Development Society, Edmonton

Prepared and served the community meal at Ronald McDonald House

Collaborative warehouse working with other volunteers at Foodbank of Edmonton

Organized volunteers to set up meeting room and provided mandarin translation service for leadership training workshop for women at Action For Healthy Communities PROJECTS

AI of the board game Five in a Row (Python) Jan-Apr 2019

Developed an AI which can automatically generate optimal position by Negamax algorithm

Strengthened statistical modelling skills by improving the efficiency and effectiveness of AI chess player with Monte Carlo Method and rule-based simulation Machine learning application (Python) Sep-Dec 2018

Solved regression problem with various gradient descent methods (Batch Gradient Descent, Stochastic Gradient Descent) on a UCI dataset for CT slices with 385 features and 53,500 samples

Built classifier models, such as Naive Bayes, Logistic regression and Neural Network, on a physics dataset, with 8 features and 100,000 samples

Demonstrated comprehensive understanding of Machine learning by designing a mini project on credit card fraud detection by applying regression algorithms on large dataset without supervision

Computer network programming (C) Jan-Apr 2017

Implemented reliable TCP protocol with various window size

Designed a MAC protocol with CSMA/CD feature

AWARDS

International Student Scholarship 2014-2016

Awarded to students with a minimum GPA of 3.0 on a full normal course load who are studying on a Student Visa Permit.

University of Alberta Academic Excellence Scholarship 2014 Awarded to students with superior academic achievement entering the first year of an undergraduate degree program at the University of Alberta.

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