Hello, my name is Sowndy 👋

• Student at UMass Lowell
• Currently studying Computer Science 👨🏻‍💻
• Fun fact: I love photography 📷
• 📫 How to reach me: Sowndaryan_Jayaprakashanand@student.uml.edu

Skills and Technologies

• Languages: Java, Python, C/C++, SQL (Postgres), JavaScript
• Technologies: .NET, React.js, Node.js, Express.js
• Databases: MongoDB, PostgreSQL
• Libraries: pandas, NumPy, Tailwind, Scikit-learn, Tensorflow, Keras

✨ Featured Project: Country Public Service Delivery Quality Prediction

Project Overview

This project develops a robust Machine Learning Regression model to accurately predict a country's "Delivery Quality" – the effectiveness of its public services – using socio-economic indicators from the World Happiness Report dataset. The aim is to provide actionable insights for improving governance and public service provision worldwide.

Key Features & Results

• Predictive Modeling: Developed a Random Forest Regressor to predict country "Delivery Quality," a supervised regression task.
• Robust Pipeline: Implemented a comprehensive ML pipeline including data cleaning (NaN imputation), advanced outlier treatment (winsorization), and rigorous validation via K-Fold Cross-Validation.
• High Accuracy: Achieved exceptional performance with an R² score of 0.964 and a low MSE of 0.037 on unseen data, validated by an ideal residual plot.
• Key Insights: Identified Democratic Quality as the most influential predictor, highlighting its strong correlation with public service effectiveness.

Technologies Used

Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, SciPy.

Getting Started

To explore the full project details, code, and methodology, please visit the main repository:

[Link to Full Project Repository] ((https://github.com/sowndyjay/AIML-Portfolio))

✨ Other Projects: EasyDoc - Full-Stack Encrypted Healthcare Document Delivery

Project Overview

EasyDoc is a full-stack web application designed to solve the critical issue of decentralized medical document storage. By providing a secure, end-to-end encrypted platform, it enables patients to manage their healthcare documents efficiently and allows for seamless, secure delivery between different doctors and specialties.

Technology Stack

• Languages: JavaScript, HTML/CSS
• Backend: Node.js, Express.js
• Frontend: React.js
• Database: MongoDB
• Tools: Git

[Link to Full Project Repository] Project Link: [https://github.com/sowndyjay/hellodoctor]

✨ Other Projects: DNA Sequence Alignment

Project Overview

This project implements a C++ dynamic programming solution to compute the edit distance between DNA sequences and reconstruct their optimal alignment. It's a foundational tool in bioinformatics for sequence comparison.

Technologies Used

C++

[Link to Full Project Repository] ((https://github.com/sowndyjay/dna-string-alignment))