S O F T W A R E E N G I N E E R

j ohn.s h i advhns@r.postjobfree.com ( 0 1 ) 226-***-****

J O H N S H I N

P R O F E S S I O N A L S K I L L S

Technical Skills: Advanced in JavaScript, Mongo dB, SQL, C#; Proficient in HTML, CSS, Python Languages: Fluent in English; Conversational Proficiency in Korean E D U C A T I O N

Advanced Diploma in Software Engineering Technology - Honors Centennial College

Cumulative GPA: 4.17 (out of 4.5)

Relevant Coursework: COMP 306 API Engineering and Cloud Computing; Data Warehouse and Predictive Analysis; Java EE Programming

2019 - 2022

W O R K E X P E R I E N C E

Full Stack Developer

Co-Ex-Tec, a division of Magna Exteriors and Interior Corp. Developed more than 100 web, mobile, and WPF applications that increased work efficiencies by automating data translation and reporting processes using SQL and PHP, resulting in more than 50% reduction in time spent manually converting data and improving data accuracy. This enabled managers to increase oversight and accountability on different projects. Reduced factory operational costs by decreasing the number of times the production line stopped through identification of root cause and presenting an innovative and effective routing system solution to the plant manager.

Presented to management on current project progress and project proposals on a bi-weekly basis. Resolved all IT helpdesk tickets received within 24 hours - received an average of 10 requests per day - significantly improved the IT department's resolved ticket rate. June 2018 - July 2019

Toronto, Ontario Canada

P R O J E C T S

Quote System (Partnership with PFC Flexible Circuits) Designed and implemented a pricing quote website in 12-person team using MernStax for PFC Flexible Circuit Board, significantly improving PFC Flexible Circuit's existing manual quote process. Led the 12-person team over 3 months by facilitating discussion, scheduling meetings, providing guidance to other members, and ensuring deadline are met, resulting in successful completion of the project.

Crypto Currency Web Scraping and Comparison System Designed and developed a web scraping application in 8-person team using MernStax that enables user to easily find top 50 trading crypto currency from webpage and efficiently compare and contrast different tokens and crypto currencies.

Predictive Modeling

Created a predictive model using Python that predicts whether tumor was benign or malignant - model resulted in 98% accuracy.

Concord, Ontario Canada

Sept 2022 - Nov 2022

Jan 2022 - April 2022

Sept 2021 - Nov 2021