What I Do
I am an aspiring data analyst with a passion for turning complex data into meaningful insights. I’m constantly learning skills such Python, SQL, R, Power BI, and more.
Excel
A versatile tool for data analytics, offering me features for data cleaning, analysis, visualization, and automation.
From using formulas and pivot tables to building interactive dashboards and automating tasks with macros, Excel provides a comprehensive suite of tools for transforming raw data into actionable insights.
Python
I’ve learned to leverage Python for data analytics, enhancing my ability to process, analyze, and visualize complex datasets.
Through libraries like Pandas, NumPy, Matplotlib, and Seaborn, I’ve gained skills in data manipulation, statistical analysis, and creating clear, compelling visualizations to uncover meaningful insights.
SQL
I’ve developed strong SQL skills to efficiently retrieve, manipulate, and manage data from databases.
By writing complex queries, performing joins, aggregations, and subqueries, I’ve been able to extract valuable insights from structured data sources and integrate them into comprehensive reports.
Power BI
I’ve learned to use Power BI for building interactive dashboards and reports that make data insights accessible and actionable.
From importing data and transforming it using Power Query to designing visuals and creating relationships between datasets, I’ve gained expertise in turning raw data into visually compelling stories.