Portfolio

Discover my curated portfolio of impactful and innovative projects.

Scalable Serverless ETL Pipeline with AWS

Cloud Architecture

Designed a scalable serverless ETL pipeline leveraging AWS services to automate data ingestion, transformation, and storage. The architecture integrates Amazon S3, AWS Lambda, and Amazon RDS (MySQL) with efficient archiving in Parquet format for analytics.

Personal Portfolio Website on AWS

Cloud Architecture & Web Development

Built a scalable and automated personal portfolio website hosted entirely on AWS. The architecture integrates multiple AWS services, including S3 for static hosting, CloudFront for secure and fast delivery, and Route 53 for DNS management. It also utilizes API Gateway, Lambda, and SES for backend functionality such as a contact form and chatbot.

Skin Disease Detection Using Convolutional Neural Networks

Data Science

Developed a skin disease detection system using Convolutional Neural Networks (CNNs) to classify medical images with high accuracy. Leveraged TensorFlow and Keras for model training and implemented image preprocessing for enhanced results, providing a scalable solution for early diagnosis.

Automated Kubernetes Deployment on AWS with ArgoCD and Terraform

Cloud Infrastructure Design

Implemented efficient Kubernetes cluster management on AWS using Terraform for infrastructure provisioning and ArgoCD for automated GitOps-based deployments, ensuring streamlined operations and scalability.

Secure and Scalable Multi-Account AWS Network Architecture

Cloud Networking

Designed a secure and scalable multi-account AWS network architecture with centralized connectivity using AWS Transit Gateway, an Inspection VPC for threat detection, and dedicated Log Archive and Security Audit accounts. Ensured isolated environments for Production, UAT, and Development to enhance security, governance, and operational efficiency.

Aspect-Based Sentiment Analysis for Product Reviews

Data Science | Machine Learning

Developed an Aspect-Based Sentiment Analysis (ABSA) model during a Data Science Internship at Kmart, leveraging NLP and Machine Learning to extract sentiments from product reviews, enabling data-driven decisions and enhancing customer satisfaction.

House Price Prediction Using XGBoost in R

Data Science

Developed a machine learning model utilizing the XGBoost algorithm in R to predict housing prices. The project encompasses data preprocessing, feature selection, model training, hyperparameter tuning, and evaluation to ensure accurate price estimations.