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Portland, Oregon 971-371-6570 EMAIL AVAILABLE LINKEDIN LINK AVAILABLE 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 EXPERIENCESoftware Developer 07/2021 - 01/2024CollegeNET, 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 - 07/2021CollegeNET, 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 & OTHERTechnical Skills:Python, Java, SQL, Pytorch, C++, HTML, Nodejs, JavaScript (js), CSS, Bootstrap, React.js, MySQL, MongoDB, NoSQL, AWS Cloud, LinuxOther Skills:Agile & Plan Driven Development, Data structures, Object-Oriented Programming (OOP), Algorithms, Website Accessibility (WCAG), problem solving skills, and communication skills, Gitlab,GithubPROJECTSMovie Recommendation System- Python, PytorchDescription: 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 hasnt 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, PytorchDescription: 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 approachGolf 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 EDUCATIONBachelors of Science(BS) in Computer Science, GPA 3.5/4.0 09/2018-07/2021 Portland State University, Portland OR