- Passionate data analyst with skills in statistical analysis, data visualization, and machine learning πͺ
- Detail-oriented problem solver adept at spotting patterns and trends in complex data sets π―
- Continuously seek opportunities to expand skill sets and stay up to date with emerging technologies in the field of data analytics π
- Conducting data preprocessing and manipulation tasks using Python.
- Employing SQL for querying and manipulating data within relational databases.
- Creating interactive dashboards and crafting data stories using Tableau and Power BI.
- Designing and implementing data modeling for efficient database schemas and optimizing query performance.
- Delving into PySpark to tackle large-scale datasets and enhance data processing workflows.
- Experimenting with dbt for modern data transformation methodologies.
- Exploring cloud-based data solutions (Oracle, Azure, AWS) to expand knowledge of data management and storage options.
- Diving into NoSQL databases such as MongoDB and Cassandra for handling unstructured data.