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Data Engineer

Location:
West Lafayette, IN
Posted:
February 21, 2021

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Resume:

Daniel Nguyen adkc5m@r.postjobfree.com • 650-***-**** • Fremont, CA

Purdue Undergraduate Linkedin: DanYellNuwin • Github: Dan-Yell-Nuwin EDUCATION

Purdue University 2022

BS Candidate, Major: Computer Science, Minor: Mathematics West Lafayette, IN

• Men’s Club Vball; Data Mine; ICPC; B01lers CTF-2nd Place; VSA; Cornerstone; Major GPA: 4.0/4.0 EXPERIENCE

Lawrence Livermore National Laboratory - Mac Services Team June 2020 Computational Scholar Intern - Software Engineering Livermore, CA

• Researched and developed a Django web application that personalizes user’s device security information in a neat and easy way for the lab’s 3,500+ users to view and troubleshoot their own computers.

• Parsed through Macpatch’s MySQL database, LLNL’s 3rd party engine patching software, and queried relevant information into production. Integrated Docker to host images asynchronous with LLNL’s server.

• Incorporated Bootstrap for HTML/CSS/JS in the front-end and O-Auth2 for secure authentication. Updated REST APIs for engineers to access encrypted IT info in JSON format. Veraphotonics 2020

Data Engineer Intern San Jose, CA

• Worked on a team to use Linux and Python for Raspberry Pi projects include providing low-cost security cameras for low-income homes in the Bay Area.

• Designed Python script to compute and analyze data computed from data given from test results. Worked on a machine learning algorithm to correct current results and predict incoming data.

• Redesigned code to be more e cient by querying data and then analyze prediction of data when certain conditions are implemented.

Annual Modulation - Purdue Physics Data Mine August 2019 Undergraduate Team Research Lead West Lafayette, IN

• Built Jupyter notebooks in Python to create and analyze data-sets from XENON 1T Water Tank, NOAA, and NASA for research on dark matter annual modulation.

• Maintained neural network to perform computational data prediction and remodeling. Published research paper and presented at the Purdue Physics Expo 2019 under Rafael Lang. Exatron June 2019

Computer Microchip Programmer Sunnyvale, CA

• Exatron is a company that manually programs microchips for Intel, NVIDIA, and other silicon valley companies. While helping conduct research on ash burning memory onto microchips, I particularly worked on machine learning data to develop projects on sorting quality chips using C and C++; PROJECTS + COURSEWORK More projects available at https://github.com/Dan-Yell-Nuwin

• Voter - Swift based IOS app that voters could use to view candidates either in their local area, state, and country while being able to register to vote via the app. During the project, I worked the back-end using a Python script and uploaded the data through a Firebase server.

• ShirtsForLess - Trained AI model to recognize di erent types of clothing on an individual using Keras and Tensor ow. Webscraped online for environmental friendly clothing data onto Mongodb database.

• - Created an ecommerce website in Django and Bootstrap to sell medical equipment to healthcare companies.



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