- 🎓 Education: Final-year B.Tech student specializing in Artificial Intelligence & Data Science.
- 🤖 AI & ML: Passionate about Machine Learning, Deep Learning, NLP, OCR, and Generative AI.
- 💻 Programming: Experienced with Python, SQL, C++, NumPy, Pandas, and Scikit-learn.
- ⚙️ Development: Building AI applications using FastAPI, Flask, Streamlit, and REST APIs.
- 🧠 AI Engineering: Interested in developing practical and scalable AI-powered solutions.
- 📊 Data: Experienced in Data Analysis, Data Visualization, Machine Learning, and predictive modeling.
- 🐳 DevOps: Familiar with Git, GitHub, Docker, Jenkins, and CI/CD concepts.
- ☁️ Cloud: Familiar with AWS and cloud-based application development.
- 📍 Location: Baramati, Maharashtra, India.
- 🎯 Goal: To build impactful real-world AI solutions and grow as an AI/ML Engineer or Data Scientist.
An AI-powered learning assistant designed to help students understand and revise academic topics.
- 💬 AI-powered question answering
- 📚 Topic explanations
- 📝 Study note summarization
- ❓ Quiz generation
- 🧠 Flashcard generation
- 📄 Document-based learning
- 🤖 Generative AI integration
Python Generative AI Gemini API Flask Streamlit
A Machine Learning application for estimating shipping costs from historical shipment data.
- 📊 Data preprocessing
- 🔎 Exploratory Data Analysis
- 🤖 Machine Learning models
- 📈 Model evaluation
- 💰 Shipping cost prediction
- 🖥️ Interactive Streamlit application
Python Pandas NumPy Scikit-learn Streamlit
A data analytics and machine learning project for analyzing YouTube channel performance and predicting video views.
- Data cleaning
- Exploratory Data Analysis
- Feature engineering
- Data visualization
- Regression models
- Model evaluation
- Performance analysis
Python Pandas NumPy Matplotlib Scikit-learn
