Undergraduate Student | Artificial Intelligence and Machine Learning
Woxsen University
I am an undergraduate student specializing in Artificial Intelligence and Machine Learning at Woxsen University. My academic interests lie in the study and application of intelligent systems, with an emphasis on deep learning and data analysis.
- Machine Learning and Deep Learning
- Data Analysis and Visualization
- Natural Language Processing
- Federated and Distributed Learning
- Cloud Computing and Simulation (CloudSim)
- Data Warehousing and Big Data Analytics
- Programming Languages: Python, Java
- Machine Learning Frameworks: Familiar with TensorFlow, PyTorch, Scikit-learn, Keras
- Data Science Tools: NumPy, Pandas, Matplotlib, Seaborn
- Deep Learning and Model Development: Understanding of convolutional and recurrent neural networks and model optimization techniques.
- Natural Language Processing: Working knowledge of NLTK, spaCy, and text-based analytics such as sentiment analysis and word embeddings.
- Version Control: Git, GitHub
- Other Domains: Data Preprocessing, Model Deployment (Flask/Streamlit)
- Federated Learning for Medical Imaging
Developed and tested distributed deep learning models using Flower (FLWR) and TensorFlow for pneumonia detection from chest X-ray datasets. - Iot Based Supply Chain Management Dashboard for keeping the track of the goods like temperature,humidity,etc in a dashboard and sending alerts so as to keep the products in good condition.
To advance expertise in artificial intelligence and machine learning through research, experimentation, and collaboration. Dedicated to exploring the intersection of AI systems and real-world applications, with a focus on creating interpretable, fair, and impactful technologies.
Email:[email protected]