I am a sophomore at Duke University majoring in Computer and Math. I have profiency and exposure to technologies in the following areas:
- Languages: Python, Java,C, JavaScript, HTML, CSS, SQL
- Libraries: Pandas, Polars, NumPy, SciPy, Scrapy, Matplotlib, Seaborn, Scikit-Learn, TensorFlow, Keras, PyTorch
- Web Frameworks: Django, React, Node, Express, Tailwind CSS, Bootstrap
- Databases: MS SQL Server, SQLite, MySQL, PostgreSQL
- Work In Progress: Angular, MongoDB
- Live Preview: https://cv-builder-gilt-phi.vercel.app/
- Build a user-friendly application using React. Users can enter details, preview and download Resume as PDF.
- Live Preview: https://shopping-cart-gold-eta.vercel.app/ Source Code:https://github.com/MelosaRao/ShoppingCart
- Used React Router and dynamic client-side routing to build a Shopping Cart Application
- Source Code: https://github.com/MelosaRao/TicTacToePy
- Built 3 interactive TIC TAC TOE games played between – 1) two human players, 2) a human and a computer that makes random moves, 3) a human and a computer that never loses by utilizing the minimax algorithm.
- Source Code: https://github.com/MelosaRao/inventoryDjango
- Built inventory management system with user authentication. Users can add, delete, and edit items.
- Implemented both decompression and compression using Huffman Coding (based on CS201 Coursework).
- Source Code: https://colab.research.google.com/drive/1OuTBJmeiC46HM1aGYG1sLqVg5uWCwRmh?usp=sharing
- Using transfer learning and data augmentation, I built an ensemble model combining EfficientNetB7 with noisy student training and DenseNet201 outputs. F1 score: 0.957.
- Source Code: https://colab.research.google.com/drive/1ttJVOfFGswRvgS4ENVplVr7Pi9UqDeh5?usp=sharing
- Built a simple neural network to predict which passengers survived the Titanic shipwreck.