Machine / Deep Learning

Proficient in machine learning and deep learning frameworks such as Scikit-Learn, OpenCV, TensorFlow, Keras, PyTorch, and XGBoost. Possess extensive knowledge of diverse machine learning algorithms. Experienced in implementing various deep neural network architectures for tasks such as object detection and segmentation. Familiarity with a range of models and techniques enhances versatility in addressing complex challenges within the realm of artificial intelligence and data science.

Python

In Python,My expertise are:

• Analysis and Visualization:
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Plotly


• Database Access:
• SQLAlchemy


• Web Scraping:
• BeautifulSoup
• Scrapy


• Deployment and Orchestration:
• Docker
• Kubernetes

NLP(Natureal Language Processing)

Experienced in NLP, I specialize in building text-based models using advanced architectures like RNNs, LSTMs, and GRUs. Proficient in SpaCy and Gensim, I apply these tools for tasks such as sentiment analysis and text generation, delivering effective solutions at the intersection of theory and practical implementation in NLP.