I’m an aspiring Data Analyst with a strong interest in data analytics, business intelligence, and data science fundamentals.
I enjoy working with data to uncover patterns, trends, and insights that support better decision-making.
My focus is on building a solid foundation in Excel, SQL, Python, statistics, and data visualization, while gradually moving toward more advanced analytics and data science concepts.
I’m particularly interested in roles where data meets business and finance, and where insights create real-world impact.
- Data Analysis Practice: Working with datasets using Excel and Python
- SQL Development: Writing queries for data exploration and reporting
- Analytical Foundations: Statistics, logic, and problem-solving
- Dashboard Thinking: Understanding how insights are presented to stakeholders
- Data Analytics & Business Intelligence fundamentals
- Excel (analysis, formulas, dashboards)
- SQL for data querying and analysis
- Python for data analysis
- Basics of data science and predictive thinking
- Data Analyst
- Business Analyst
- Financial Analyst
- Data Science (foundational level)
- Business Intelligence & Reporting
⭐ This profile will evolve as I build projects, dashboards, and real-world analytical skills.