Sreenandana S

About

Computer Science and Engineering student at IIIT Kottayam with hands-on experience building backend services, web applications, and machine learning projects. Interested in backend development, databases, and full-stack application development.

Experience

• Backend Developer
  Company
  Mar 2026 – —

Education

• Bachelor of Technology in Computer Science and Engineering
  Indian Institute of Information Technology (IIIT) – Kottayam
  Computer Science and Engineering · Aug 2024

Skills

• C <3 months
• CSS <3 months
• Express.js <3 months
• HTML <3 months
• Backend development <3 months
• Python <3 months
• MySQL <3 months
• Java <3 months
• JavaScript <3 months
• Node.js <3 months
• React <3 months

Tools / apps / platforms

• Git <3 months
• GitHub <3 months
• Linux <3 months
• MongoDB <3 months
• MySQL <3 months
• PostgreSQL <3 months
• SQLite <3 months
• Supabase <3 months
• VS Code <3 months

Projects

• ULLAAS – The Joy of Growth ↗
  React.js, TypeScript, Supabase, PostgreSQL, Tailwind CSS, REST APIs

  Developed backend services for a localized e-commerce platform connecting Kudumbashree women entrepreneurs with buyers. Implemented user authentication, product listing management, order processing, and role-based access control for Seller, Buyer, and Admin workflows.

• Flipkart Gridlock – Event-Driven Traffic Congestion Prediction ↗
  Python, Streamlit, Folium, REST APIs

  Developed an interactive Traffic Command Center dashboard for visualizing event-driven traffic congestion predictions. Built a Folium map with congestion heatmaps and real-time metrics for predicted congestion severity, police deployment, and barricade requirements.

• IMDB Sentiment Analysis ↗
  Python, Scikit-learn, NLP, TF-IDF

  Built a sentiment analysis model using TF-IDF vectorization and machine learning algorithms to classify movie reviews. Compared Logistic Regression, Naive Bayes, and Support Vector Machine (SVM) models to identify the best-performing classifier.