Justinkhang Nguyen

Business-minded Network Administrator with 2 years of experience in supporting server environments. Determined and focused in managing network infrastructure and optimizing environment while reducing redundancy. Dynamic team player when interfacing with other staff members, vendors and end-users.

· AWS Academy Graduate - AWS Academy Cloud Architecting- 60 hours

· AWS Academy Graduate - AWS Academy Cloud Foundations Training - 20 hours

· DevNet Associate Training - 60 hours

Academic Project: Mell Corporation Consulting Case Study

Overview: provide analytic services in support of pending litigation for a sample corporation, as follows:

• Perform a big data ingest, csv to excel pivot tables, query multiple features in the corporate data set to help with pending litigation (ie salary and gender equity issues).
• Establish cloud computing infrastructure and relational database services (mysql). Used Amazon Web Services (EC2, Ubuntu Linux, MySQL and Cloud 9 IDE)
• Write SQL queries in support of the analysis across multiple binned categories (ie gender, occupation). Perform aggregation and robust statistical survey of the client's data.
• Communicated data science results as written deliverables
• Provide multiple graphed outcomes, as final visualizations via Excel
• Integrated Natural Language Processing (NLP) via Amazon Comprehend to analyze customer survey responses

Academic Project: AWS Capstone Project

Overview: Designing and implementing a cloud-based solution using Amazon Web Services to solve a particular business problem. This included developing an architectural plan, deploying and configuring the required AWS services, and implementing the solution using industry best practices.

• Deploy a PHP application that runs on an Amazon Elastic Compute Cloud (Amazon EC2) instance
• Create a database instance that the PHP application can query
• Create a MySQL database from a structured query language (SQL) dump file
• Update application parameters in an AWS Systems Manager Parameter Store
• Secure the application to prevent public access to backend systems

Academic Project: Mell Corporation Consulting Case Study

Overview: provide analytic services in support of pending litigation for a sample corporation, as follows:

· Perform a big data ingest, csv to excel pivot tables, query multiple features in the corporate data set to help with pending litigation (i.e. salary and gender equity issues).

· Establish cloud computing infrastructure and relational database services (MySQL). Used Amazon Web Services (EC2, Ubuntu Linux, MySQL and Cloud 9 IDE)

· Write SQL queries in support of the analysis across multiple binned categories (i.e. gender, occupation). Perform aggregation and robust statistical survey of the client's data.

· Communicated data science results as written deliverables

· Provide multiple graphed outcomes, as final visualizations via Excel

· Integrated Natural Language Processing (NLP) via Amazon Comprehend to analyze customer survey responses

Academic Project: AWS Capstone Project

Overview: Designing and implementing a cloud-based solution using Amazon Web Services to solve a particular business problem. This included developing an architectural plan, deploying and configuring the required AWS services, and implementing the solution using industry best practices.

· Deploy a PHP application that runs on an Amazon Elastic Compute Cloud (Amazon EC2) instance

· Create a database instance that the PHP application can query

· Create a MySQL database from a structured query language (SQL) dump file

· Update application parameters in an AWS Systems Manager Parameter Store

· Secure the application to prevent public access to backend systems