Cryptocurrency & FinTech: Developed platforms with real-time data handling and high-level securityNotable Projects:- Cryptowzrd.com: Developed a real-time cryptocurrency trading platform using Socket Programming and Kafka for data streaming, integrating exchange APIs to provide live trading features.- FinTech Dashboard: Created a financial dashboard with real-time data visualization using React, Material-UI, and Node.js.- AI Analytics Tool: Built an AI-powered analytics platform that automates large-scale data processing for financial services.

Key Projects:- e8assessment.com.au: Developed an education assessment platform using Next.js, NestJS, and Node.js. Deployed on AWS EC2 with Nginx and PM2 for high availability.- d-libro.com: Built an online library management system with React.js, Node.js, and MongoDB. Implemented real-time syncing and search capabilities, using AWS S3 for file storage.- racqy.com: Created a racquet sports management platform with Next.js, Firebase, and Google Cloud Functions. Used Tailwind CSS for responsive UI design and deployed on GCP.- kaizenteams.com: Led the development of a team management tool using React.js, NestJS, and Postgres, focusing on performance optimization and integrating cloud services like AWS S3, AWS SNS, and AWS Lambda for event-driven architectures.- megaship.io: Engineered a shipping logistics platform with Next.js, Node.js, and Prisma, deploying it manually on AWS EC2 with Nginx and PM2 for load balancing and scalability.Testing & State Management: Jest, Redux, Redux ToolkitAI & RAG Stack: Integrated AI-driven solutions for automation and smart data processing.I handled end-to-end deployments, including manual setups on EC2 with Nginx, and cloud-based solutions on AWS and GCP, ensuring reliable operations with micro-services and containerized environments using Docker.

During my internship, I gained practical experience in Data Science and Business Intelligence using top tools like Python, Microsoft Power BI, and SQL. I focused on data analysis, machine learning, and statistical modeling, contributing to actionable insights and business solutions.Key Projects:- Sales Performance Dashboard: Developed a Power BI dashboard to visualize sales trends, customer segmentation, and product performance, enabling decision-makers to refine sales strategies.Customer Churn Prediction Model: Built a machine learning model in Python to predict customer churn, leading to a targeted retention strategy for the business.- Financial Data Analysis: Analyzed large datasets with SQL and Excel, providing data-driven insights into budget forecasting and financial performance.This hands-on experience strengthened my expertise in data science, machine learning, and BI tools, driving data-informed decisions and optimization strategies.