B.Tech Artificial Intelligence & Data Science |
πΉ Passionate about AI, ML, and Deep Learning applications in real-world problems.
πΉ Experienced in stock market prediction, medical data analytics, CNN's and NLP
πΉ Enthusiastic about learning and contributing in this field.
π» Languages: Python, R, C++, JavaScript
π ML & AI: TensorFlow, PyTorch, Scikit-learn, OpenCV, NLTK
π‘ Embedded Systems: 8051 Microcontroller, Arduino, Raspberry Pi
π Data Science: Pandas, NumPy, Matplotlib, Seaborn, XGBoost, ARIMA
βοΈ Cloud & Tools: Google Cloud, AWS, Docker, Kubernetes, GitHub Actions
π Databases: MySQL, PostgreSQL, Firebase, MongoDB
- Deep learning-based lip reading and sign language recognition system.
- Uses Corpus dataset of 1000 and American Sign Language dataset.
- Achieved accuracy of over 90% on a 50-50 split
- Predicting stock prices using time series forecasting & machine learning.
- Analyzing stocks like TCS, RELIANCE, HDFCBANK, INFY, ITC.
- Medical data analytics using ML for hospital efficiency.
- Data pipeline development & ML model deployment.
π Paper Reading Club - Breakingdown ML papers with practical implementation.