I’m a **Data Analyst using Python**, focused on turning raw data into clear, actionable insights. My strength lies in cleaning, analyzing, and organizing data to support better decision-making, with accurate results and easy-to-understand outputs.

**Top skills & strengths**

* Data analysis using Python
* Working with Pandas and NumPy
* Data cleaning and preprocessing (handling missing values and inconsistencies)
* Exploratory data analysis and basic statistical analysis
* Working with CSV, Excel, and JSON files
* Combining data from multiple sources (APIs and databases)
* SQLite and simple databases for analysis

**Services I offer**

* Data cleaning and preparation for analysis
* Analyzing datasets and extracting key insights
* Creating clear analytical reports and summaries
* Organizing and transforming data into usable formats
* Automating repetitive data analysis tasks with Python
* Helping clients understand their data and make data-driven decisions

**What I enjoy working on**
I enjoy projects that involve understanding data, discovering patterns, and turning numbers into meaningful stories. I like working on business data, performance tracking, and analytical tasks that lead to practical, data-driven improvements.

My goal is to deliver accurate, well-structured, and easy-to-understand data analysis that creates real value.