About Me

I'm currenlty an undergraduate student with a passion for merging the worlds of Business Analytics and Management Information Systems (MIS). My journey is fueled by a keen interest in driving innovation through cloud computing technologies. My academic journey has offered me a robust and well-rounded understanding of the intricate relationship between technology and data-driven decision-making.

Education - George Mason University, 2023

BS, Management Information Systems
BS, Business Analytics

Bachelor of Science in Management Information Systems - Throughout my academic journey, I have been immersed in a diverse range of coursework, cultivating a robust foundation in data analysis, information systems, and strategic decision-making. Additionally, I have focused my attention on leveraging the power of cloud computing, recognizing its transformative potential in enhancing operational efficiency and scalability

Bachelor of Science in Business Analytics - Equipped with skills in data visualization, statistical programming, and database management. Through coursework, I've demonstrated my ability to turn complex data into understandable narratives. I have experience in tools such as Java, R, SQL, and Python, I bring a hands-on approach to analyzing and interpreting data. Proven ability to transform data into actionable insights, driving informed business decisions, and optimizing processes for enhanced efficiency and competitiveness.

Technical Skills and Certifications

Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook).
Java: Experience in developing and implementing Java applications for business solutions. R: Proficient in statistical computing and data analysis, using R for extracting insights. Python: Skilled in scripting, using Python for data-related tasks and analytics.
SQL: Experienced in writing SQL queries to extract, analyze, and manipulate data.
Solutions Architect Associate-C03 Certification. Amazon Web Services, Issued Nov 2023.

Verify Credential

Projects

Below are some of my personal projects array of initiatives that span programming, data analysis, and cloud architecture, showcasing technical experience and understanding of how technology can drive meaningful impact in various domains. Each project represents a step in my journey of exploration and problem-solving.

Simulated Dynamic Hybrid Cloud Architecture
With AWS Transit Gateway, Global Accelerator, and Secure VPN


This project showcases a secure and redundant Hybrid Cloud Architecture that integrates an on-premises simulated network with AWS. The on-premises network is represented by EC2 instances configured as routers and servers, which connect to AWS cloud infrastructure servers through secure IPsec VPN tunnels at GLobal Accelerator VPN endpoints. Dynamic routing is achieved using Border Gateway Protocol (BGP) via the Transit Gateway to enable communication between the on-premises network and the AWS VPC. The VPC hosts instances across multiple Availability Zones, ensuring high availability and fault tolerance. This architecture demonstrates secure, scalable, and highly available hybrid connectivity, ideal for enterprises looking to extend or integrate their on-premises infrastructure with AWS.

Secure cloud S3 storage explorer
Using Next.js, S3, Amplify, Cognito, Route 53, Lambda, DynamoDB, CodePipeline


This project is a Secure Cloud Storage Explorer built with AWS Amplify and Next.js, designed to allow users to securely browse, upload, and access files which is stored in S3 on their browser. The application uses Amazon Cognito for user authentication, requiring administrator approval for account activation, ensuring secure access. Users can navigate the S3 bucket's file structure, view documents directly in the browser, and manage files easily. Hosted on AWS Amplify Gen 2, the project utilizes other various AWS services like DynamoDB, Lambda, and CloudFront, demonstrating a serverless application with modern frameworks and cloud technologies. View it!

Scalable and Redundant Wordpress Application hosted on AWS
Using EC2, ALB, EFS, RDS, Cloudwatch, and Auto Scaling


In this project, I succesfully orchestrated the deployment of a scalable WordPress application on AWS, using an Application Load Balancer for efficient traffic distribution. Automation through an EC2 Auto Scaling Group with a customized launch template streamlined the process. Dynamic scaling policies based on EC2 CPU utilization thresholds were implemented for optimal resource management. Media access and storage across instances was facilitated through an integrated Elastic File System (EFS). The project also involved migrating a local EC2 MariaDB database to an RDS instance for enhanced scalability and reliability.

Serverless Email Reminder Application
Using AWS S3, API Gateway, Lambda, Step Functions, and SES


In this project, I implemented a Serverless Email Reminder system, ensuring a seamless flow of communication. The appropriate IAM Roles were set up, granting appropriate permissions for the application services. The frontend static website, containing HTML, JavaScript, and CSS files, was hosted on an S3 bucket. JavaScript facilitated user input and communication with an API Endpoint. A REST API Endpoint was deployed to invoke the API_Lambda for backend compute. I configured a State Machine to utilize SES via Email_Lambda, incorporating user inputs. The State Machine then invoked Email_Lambda, which interfaced with SES to send email reminders, effectively utilizing the input payload from the frontend JavaScript. View it!

Personal Website hosted on AWS
Using S3, Route 53, CloudFront, ACM, Lambda, DynamoDB, CodePipeline, Github


I developed a personal website using AWS services for optimal performance and functionality. Starting with the creation of an S3 bucket, I deployed a CloudFront CDN distribution with the S3 bucket as the origin access identity (OAI). The domain was registered with Route 53, and an A record was configured to direct traffic to the CloudFront distribution. Security was enhanced with an SSL certificate obtained from ACM to ensure a secure HTTPS connection. For visitor tracking, a DynamoDB table was set up to store website view counts. A Lambda function, equipped with CORS, was created to increment the DynamoDB view count table based on website viewership. To streamline updates, a connection to a GitHub repository was established using CodePipeline, automating the deployment process.

Automating Jenkins Application on Linux with Terraform


This project showcases the deployment of a Jenkins application on Amazon EC2 using Terraform, streamlining the infrastructure provisioning process. The Terraform script orchestrated the creation of an EC2 instance, specifying the required configuration details such as instance type, security groups, and a key pair. Additionally, I automated the installation and configuration of Jenkins on the EC2 instance by utilizing remote execution scripts. The setup also included defining necessary networking components such VPC and subnets to ensure proper connectivity. The Terraform automation expedites the deployment of Jenkins and also ensures consistency and reproducibility to simplify the management of the Jenkins infrastructure on EC2.

Web Identity Federation With AWS Cognito and Google Authenticaiton

This project demonstrates a secure and scalable web application architecture using AWS Web Identity Federation and Google Authentication. This architecture integrates CloudFront to efficiently deliver content, including the publically accessible static website files that are hosted in a S3 bucket. Users are prompted to authenticate through Google, receiving a token that is then exchanged for temporary AWS credentials via an Amazon Cognito Identity Pool. These credentials enable authorized access to private resources stored in an Amazon S3 bucket. Non-authenticated users are denied access to the private resources, ensuring robust security. This implementation highlights the use of modern identity federation techniques to provide user authentication and secure access control for sensitive data.

View it!

Marketing Email Automation with AWS

This project automates the process of sending weekly marketing emails using AWS services. A file containing new weekly challenges and a CSV with subscriber emails are uploaded to S3. An EventBridge-triggered Lambda function selects a random challenge each week, generates an HTML email template, and uploads it to S3. Another Lambda function, triggered by the S3 put event, reads the subscriber list and sends personalized emails via Amazon SES. This serverless solution ensures reliable, scalable, and automated marketing or newsletter email delivery.

View a sample template!