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.

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Projects

Below are some of my personal projects array of initiatives that span programming, data analysis, and cloud architecture, showcasing not only technical experience but also a keen understanding of how technology can drive meaningful impact in various domains. Each project represents a step in my journey of exploration, problem-solving, and collaboration.

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, utilizing 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 CPU utilization thresholds were implemented for optimal resource management. Media access 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 Application hosted on AWS
Using S3, API Gateway, Lambda, Step Functions, and SES


I designed and implemented a Serverless Email Reminder system, ensuring a seamless flow of communication. IAM Roles were meticulously 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!

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. This project reflects my proficiency in leveraging AWS services to create a secure, dynamic, and automated personal website.

Automating Jenkins Application on Linux with Terraform


I automated 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 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 like VPC and subnets to ensure proper connectivity. The Terraform automation expedites the deployment of Jenkins and also ensures consistency and reproducibility, simplifying 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.

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