🛠️ Skills

This page highlights my technical expertise and tools that I use in my work as a Data Scientist.

Programming Languages

• Python

Libraries & Frameworks

• Flask: A lightweight web framework for building web applications.
• PyTorch: A popular deep learning framework for building and training neural networks.

Tools & Platforms

• AWS: Cloud computing platform used for scalable data processing and deployment.
• Git: Version control system for tracking changes in codebases.
• Docker: Containerization platform for building and deploying applications.

Databases & Querying

• SQL: For structured query language and database management.
• NoSQL: Experience with non-relational databases like MongoDB.

Other Tools

• Jupyter Notebooks: For creating interactive data science projects and sharing insights.
• Pandas: Data manipulation and analysis library.
• NumPy: Essential package for scientific computing and working with arrays.
• Scikit-learn: Machine learning library for data modeling and analysis.