- Languages: Python, R, SQL, HTML, CSS, JavaScript.
- Data Analysis & BI: PowerBI (Power Query, DAX), Tableau, Streamlit, Machine Learning, Statistics.
- Data Engineering: ETL, EDA, Data Cleaning, Feature Engineering.
- Tools & Environments: Jupyter Notebooks, Anaconda, RStudio, Git, GitHub, MS SQL Server, MongoDB, DBeaver, Lucid (ER diagrams).
- π Data Analytics Projects. β Hands-on experience with Python, ML, R, PowerBI, Tableau, and SQL.
- π§ Spotify Data Analysis β Exploring the relationship between Audio characteristics and the Popularity of the most popular songs.
- π§ Cheese: Cheeses of the World! β Streamlit app to explore and compare Cheeses from around the world.
- π Telecommunications Dashboards. β Key metrics for decision-making.
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