🎓 B.Tech Computer Science & Engineering (2027)
🏫 National Institute of Technology (NIT) Surat
💻 Full-Stack (MERN) & Machine Learning Developer
📍 India
I enjoy building scalable full-stack applications and data-driven machine learning systems that solve real-world problems.
I have experience working across the complete software development lifecycle — from designing backend APIs and ML models to building interactive dashboards and deploying production-ready systems.
Languages
- Java, Python, JavaScript, C++
Frontend
- React.js, Tailwind CSS, HTML, CSS
Backend
- Node.js, Express.js, REST APIs, JWT Authentication
Databases
- MongoDB, MySQL
Machine Learning & Data
- Scikit-learn, TensorFlow, Pandas, NumPy
- Data Visualization: Plotly.js, D3.js
Tools
- Git & GitHub, Docker, CI/CD
Tech: MERN, Python, Scikit-learn
- AI-based demand forecasting system built for Walmart Sparkathon 2025
- Achieved 93% forecasting accuracy
- Optimized inter-store redistribution to reduce stockouts
🔗 https://github.com/Divyansh2992/Walmart_Sparkathon
Tech: MERN, ML, LangChain
- Multimodal tracking using Wi-Fi logs, CCTV & access data
- Random Forest model with 85% accuracy
- Explainable AI alerts for anomaly detection
🔗 https://github.com/Divyansh2992/Ethos
Tech: MERN, PayPal API, JWT
- Secure product catalog, cart & checkout
- Integrated PayPal payments and role-based access
- Scalable backend with MongoDB
🔗 https://github.com/Divyansh2992/ecommerce2
Tech: MERN, D3.js, Plotly.js
- Built during MNIT Jaipur Summer Internship
- Interactive dashboards for 730+ Indian districts
- Simplified environmental data analysis
🔗 https://github.com/Divyansh2992/IndianClimateAnalysis
- 🏅 Finalist – Walmart Sparkathon 2025 (Top 11 / 7000+ teams)
- 🏆 Best Poster Presentation Award – MNIT Jaipur Internship Symposium 2025
- 🏁 Finalist – Web Wonder Hackathon (SVNIT)
- 📧 Email: divyanshvijay92@gmail.com
- 💼 LinkedIn: https://linkedin.com/in/divyansh-vijay-17187b227
⭐ Always open to impactful software and machine learning projects.