REENA NAMANI

Hello! I'm Reena Namani, Analyst with a passion for transforming complex data into actionable insights. I'm adept at using tools like SQL, Python, Power BI, Excel to deliver data-driven solutions.

Explore my portfolio to see how I can leverage data to support your business goals.
Here is my linkedin let's get connected. Come let's dive in together.

Here's a little more about my self.

As a skilled Data Analyst with nearly five years of hands-on experience across diverse industries, I have demonstrated expertise in leveraging data to drive decision-making, improve operational efficiency, and enhance customer satisfaction. In my roles, I’ve optimized inventory management, reduced waste, and streamlined processes using tools like SQL, Power BI, and Excel. My work in creating dynamic dashboards and automating reporting processes has saved teams hours of manual work and reduced data errors. Additionally, my ability to collaborate with stakeholders and provide actionable insights has led to measurable business improvements, such as a 19% reduction in inventory waste and a 6% increase in customer satisfaction. With a strong foundation in data visualization, statistical analysis, and database management, I am committed to delivering impactful solutions that align with business goals.

Let me walk you through some of my projects that are listed below.

Amazon Forecast

In this project, we forecasted the stock price of Amazon using different forecasting techniques and then we tried to find the best model by calculating accuracy for each of these models.

Excel Sales Analytics

In this section there are few projects in which I used Excel functions like VLOOKUP, XLOOKUP, PIVOT TABLES, power query and ETL methodologies.s

Power BI projects

In this projects I have used varies charts like cards, KPI visuals, Tables, Matrices, Line charts and etc. In this project i got my self familiarized with DAX formulas like SUMX, RANKX, CALCULATE , FILTER, ALL, ALLEXCEPT, DIVIDE and few more.

SQL for Analysis

In this project I used various functions like JOIN, GROUP BY, HAVING, RANK, DENSE RANK and many more window functions to retrieve the data according to the user needs.