About
Data Analyst with hands-on experience in SQL, Python, Excel, and Power BI, focusing on data cleaning, exploratory data analysis, and dashboard development. Has delivered projects involving SQL querying, statistical analysis, and business-focused visualizations, with familiarity in Git/GitHub, AWS, Linux, and Snowflake.
Skills
Tools / apps / platforms
Projects
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Power BI, DAX
Prepared and transformed datasets for reporting and analysis. Built interactive dashboards with KPIs, filters, charts, data modeling, and DAX. Presented data-driven insights through business-focused visualizations.
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Python, Pandas, NumPy, Matplotlib
Performed data cleaning and exploratory data analysis using Python, Pandas, and NumPy. Handled missing values, duplicates, data types, grouping, aggregation, and statistical summaries. Built analytical visualizations with Matplotlib in Jupyter Notebook and Google Colab.
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SQL
Cleaned and transformed a real-world layoffs dataset using SQL. Applied ROW_NUMBER(), CTEs, joins, subqueries, aggregations, and window functions to identify duplicates and analyze trends. Resolved missing and inconsistent values; documented the full workflow on GitHub.