I specialize in data analysis within financial markets and cryptocurrencies. I'm actively seeking collaborations in the domains of data science and financial analysis, spanning data analysis, machine learning, and financial data processing. My professional development is an ongoing process, with a focus on acquiring advanced data science skills, specifically in machine learning, deep learning, and data visualization, all in the context of financial analysis.
Skills:
- Python, Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, R, PowerBI, GIT, Bash, ETL
- Databases: Azure, T-SQL, PostgreSQL
- Tools: Azure Data Studio, Jupyter Notebook, Visual Studio Code, Linux Ubuntu, Jira, Confluence, GitHub, GitLab
- Areas of Interest: Deep Learning, Machine Learning, Exploratory data analysis, API, Big Data, Maths