Ragini Pawaiya

About Ragini Pawaiya

I am a Data Analyst who focuses on turning data into clear insights that help businesses make better decisions.I work with SQL, Excel, Power BI, and Python to analyze data, build dashboards, and improve reporting. My work is not just about numbers — I focus on understanding the business context, identifying the right metrics, and presenting insights in a way that supports real decision-making.I have experience across the complete analytics workflow, including data cleaning, exploratory data analysis, data visualization, and reporting. I work with large datasets to identify trends, track performance, and support business outcomes.In my work, I:• Analyze large datasets (up to 6M+ records) using SQL and Python to identify trends and patterns• Build Power BI dashboards for KPI tracking, stakeholder reporting, and performance monitoring• Use Excel for reporting, data analysis, and reporting automation• Apply statistical techniques such as A/B testing and regression analysis• Perform time series analysis to understand trends and forecast outcomes• Translate data into business insights, data storytelling, and performance analysisI have worked on projects in marketing analytics, forecasting, and business reporting, where I improved reporting efficiency, identified key trends, and supported data-driven decisions.I am actively looking for Data Analyst roles where I can contribute to:Data Analysis | Data Visualization | KPI Reporting | Dashboard Development | Business Insights | Reporting & AnalyticsTools & Technologies:SQL | Excel | Power BI | Python | Pandas | NumPy | Data Visualization | Dashboard Development | KPI Reporting

Experience

1. Data Analyst Analytics Projects (Portfolio Experience)

   Self-Initiated Projects

   Sep 2025 — Present

   SITUATION:Worked on multiple datasets across marketing, public data, and business scenarios where better reporting, performance tracking, and stakeholder visibility were required.TASK:Analyze data, improve reporting, and deliver business insights to support decision-making.ACTION:• Analyzed datasets (up to 6M+ records) using SQL and Python to identify trends and performance patterns• Cleaned and validated data to ensure accuracy for reporting and analysis• Developed Power BI dashboards for KPI tracking, data visualization, and stakeholder reporting• Wrote optimized SQL queries for data extraction, transformation, and reporting• Applied A/B testing, regression analysis, and statistical techniques to evaluate outcomes• Performed time series analysis to identify trends and support forecasting• Automated reporting processes using Excel (Power Query, Pivot Tables, XLOOKUP)RESULT:• Improved reporting efficiency by 30–40% through structured dashboards and automation• Delivered business insights that supported better decision-making• Enhanced visibility of KPIs and performance metrics• Enabled data-driven planning through clear reporting and data storytelling

Education

• ITM Gwalior

  Bachelor of Technology - BTech, Information Technology