MALAI RAJ R
MSc Data Science Student | Full-Stack Developer
I design and build intelligent, data-driven applications that bridge the gap between user experience and powerful analytics.
I design and build intelligent, data-driven applications that bridge the gap between user experience and powerful analytics.
At Coimbatore Institute of Technology, I’ve found my sweet spot at the intersection of full-stack development and data science. I enjoy crafting smooth, responsive interfaces with React and Node.js, then powering them with insights uncovered from data. My goal is to build applications that not only look beautiful but also think smart. I’m constantly exploring new technologies to enhance user experience and system performance. Driven by curiosity, I strive to create solutions that are scalable, intelligent, and genuinely impactful.
Built an end-to-end data pipeline to load Spotify data from CSV into MySQL using Python scripts. Performed SQL analysis on tracks, artists, genres, and audio features to uncover popularity trends.
Target: Data Analytics & Music Industry
AI-driven symptom checker using React, Node.js, and BERT. Predicts medical conditions in under 1.5 seconds with Firebase Authentication.
Target: Healthcare & Patients
Full-stack Django app for journaling, sentiment analysis (NLTK VADER), and mood prediction using Ridge Regression with Plotly dashboards.
Target: Mental Health Users
Music recommendation app generating personalized playlists based on mood and language. React frontend with Node.js/Express backend and Spotify API.
Target: Music Lovers
Rule-based scoring engine analyzing 6+ health and environmental factors. Flask REST APIs delivering results in under 1 second.
Target: Public Health
Supervised ML system comparing 5 models on 1,000+ records, achieving ~90% accuracy. Streamlit dashboard for real-time predictions.
Target: Educational Institutions
Next.js app inspired by Obsidian & Roam Research. Features markdown editing, wiki-style linking, knowledge graph visualization, offline sync, cloud backup via Supabase, and analytics dashboard with dark/light themes.
Target: Knowledge Workers
AI shopping assistant that scores products from Amazon and Flipkart, surfaces pros/cons, flags suspect reviews, and suggests better picks—all with in-page insights via a Chrome MV3 extension.
Target: Smart Shoppers & E-Commerce Platforms
I'm actively seeking new opportunities and collaborations. Feel free to reach out!