Hi there! I'm Pranav Vinodh, a Machine Learning Research Assistant at Carnegie Mellon University and a proud developer at IRIS, NITK. I love turning ideas into impactful solutions, blending innovation with technology to tackle complex problems.
- Under the guidance of Dr. Min Xu at Xulab, I am advancing computer vision and machine learning techniques for Cryo-ET and Cryo-EM images with Dr. Xueying Zhan.
- My work involves developing Deep Learning Methods to analyze biomedical images using cutting-edge libraries and platforms.
- 🛡️ Developed a Profanity Checker for multiple forms submitted by students, ensuring data integrity and professionalism.
- 🛠️ Currently working on a Natural Language to SQL Query System to analyze the companies visiting our college.
- Tasks include data preparation, database design, NLP model implementation, and UI development.
🐍 Python | ⚡ JavaScript | 🖋️ C | C++ | ☕ Java | 🛢️ SQL
🤖 PyTorch | 🌊 TensorFlow | 🛠️ Scikit-learn | 🗣️ NLTK | 📊 NumPy | Pandas | Seaborn | 📉 Matplotlib
🌟 MERN Stack: MongoDB, Express.js, React.js, Node.js | 🔀 Next.js | 🎨 HTML | CSS
🐳 Docker | ☁️ AWS | GCP | 🔧 Kubernetes | 📝 Jupyter Notebook | 📈 Git | 📊 Kaggle
A deep reinforcement learning project designed to solve the classic Lunar Lander problem. Tech Stack: Jupyter Notebook, OpenAI Gym, PyTorch
A personal portfolio showcasing my skills, projects, and achievements. Tech Stack: JavaScript, HTML, CSS
Explorations in NLP, including sentiment analysis, text summarization, and entity recognition. Tech Stack: Python, NLTK, Spacy, Jupyter Notebook
Implementing collaborative and content-based filtering for movie recommendations. Tech Stack: Python, Scikit-learn, Jupyter Notebook
A research-focused project on identifying anomalies in datasets using ML techniques. Tech Stack: Python, Jupyter Notebook