I am to work as a data analyst. I have the skills of Python ,SQL, Powerbi, Qliksense and Excel .I leverage Python's extensive libraries such as Pandas, NumPy, and Matplotlib to perform data manipulation, statistical analysis, and visualization. With Python, I can clean, transform, and analyze data efficiently, providing actionable insights.
Proficiency in SQL enables me to extract, manipulate, and query data from relational databases effectively. Whether it's retrieving specific data subsets or performing complex joins and aggregations, SQL is my go-to tool for data extraction and manipulation.
I am adept at developing interactive and intuitive data visualizations using Qlik Sense. With its associative data model and drag-and-drop interface, I can create dynamic dashboards and reports that facilitate data exploration and decision-making.
I have experience in developing compelling dashboards and reports in Power BI, Microsoft's powerful business analytics tool. From data import and transformation to visualization and sharing insights, I utilize Power BI to create visually appealing and informative reports for stakeholders. Excel is a versatile tool in my arsenal, allowing me to perform various data analysis tasks, from basic calculations and data cleaning to advanced statistical analysis and visualization. I use Excel to organize and analyze data efficiently, especially for smaller datasets or ad-hoc analyses.