Software Developer

Tommy Ngo

Portland, Oregon 971-***-**** **********@*****.*** linkedin.com/in/tommy-ngo-151510163 A dynamic software developer with a strong background in data engineering and full stack development. I am passionate about technology and I continuously seek new ways to leverage my skills and data analysis to tackle workplace challenges and opportunities. I possess a natural curiosity and analytical mindset. PROFESSIONAL EXPERIENCE

Software Developer 07/2021 - 01/2024

CollegeNET, OR

● Fixed and implemented frontend tickets using React.js, ensuring the application aligns with WCAG Principles and AAA Standards

● Created scripts to automate processes like cleansing and updating data in a SQL database

● Debugged and developed new procedures within a SQL database

● Created new procedures in SQL to handle database processes Quality AssuranceTechnician 02/2019 - 07/2021

CollegeNET, OR

● Conducted unit tests, Integration tests, end-to-end tests and regression tests

● Investigated bugs and addressed customer concerns

● Created detailed tickets to outline the steps to replicate the issue SKILLS & OTHER

Technical Skills:Python, Java, SQL, Pytorch, C++, HTML, Nodejs, JavaScript (js), CSS, Bootstrap, React.js, MySQL, MongoDB, NoSQL, AWS Cloud, Linux

Other Skills:Agile & Plan Driven Development, Data structures, Object-Oriented Programming (OOP), Algorithms, Website Accessibility (WCAG), problem solving skills, and communication skills, Gitlab,Github

PROJECTS

Movie Recommendation System- Python, Pytorch

Description: Uses content filtering and collaborative filtering to recommend movies to an user

● Used genres as a simple factor to predicate individual ratings for movies the user hasn’t seen yet

● Weighted Matrix factorization to create a user-movie matrix

● Used Cosine similarity to compare users and Knn to cluster similar users A/B Testing Advertising - Python, Pytorch

Description: Derived statistical evidence between behaviors two groups of an A/B e-commerce site

● Created visualization to show and quantify differences

● Found p-value based on purchases to determine statistical significance

● Normalize dataset and used Frequentist approach

Golf Chemical Tracking Web Application -HTML, CSS, JS, React.js, Express.js, AWS, Docker Description: A full stack web application designed to monitor the complete chemical usage history of golf courses.

● Led a team of 8 in creating a full stack web application

● Developed frontend using React.js, middleware using Express.js and backend using AWS

● Demonstrated effective teamwork and communication EDUCATION

Bachelors of Science(BS) in Computer Science, GPA 3.5/4.0 09/2018-07/2021 Portland State University, Portland OR

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