Skills

🛠 Tools & Technologies

SQL

Advanced knowledge of complex queries, subqueries, CTEs, window functions, and aggregate operations for in-depth data analysis. Skilled in optimizing queries, cleaning datasets, and transforming raw data into meaningful insights.

Python

Basic knowledge of data types, loops, conditionals, and libraries like pandas and matplotlib for data manipulation, exploration, and simple visualizations.

Microsoft Excel

Advanced knowledge of functions, pivot tables, charts, data cleaning, and conditional formatting for efficient data analysis.

Power BI

Skilled in building interactive dashboards, data models, and visual reports that provide clear, actionable insights.

Google Sheets

Proficient in using formulas, data validation, and collaboration features to manage and analyze data in real-time.

📊 Data Analysis Skills

My core analytical strengths include:

Data Cleaning

Preparing raw data by handling duplicates, errors, and missing values to ensure accuracy.

Data Visualization

Presenting data in a clear, compelling way using charts and dashboards to support decision-making.

Descriptive Analysis

Identifying trends, patterns, and key metrics to understand the story behind the data.

Report Building

Creating structured, easy-to-understand reports that summarize findings for various audiences.