About Me
I am a focused and dedicated professional who is proficient in the use of cutting-edge technologies such as Microsoft Excel, PostgreSQL, Power BI, and Python. I don't just analyze data; I transform it into actionable insights that empower you to make data-driven decisions with confidence. As a data analyst and BI expert, I have a keen eye for detail and the ability to identify patterns and trends that others may overlook. But that's not all—I'm also an energetic and dynamic presenter who knows how to communicate complex information in a clear and precise manner. Whether you need to present your data to a group of stakeholders or simply circulate information within your organization, I have the skills and expertise to get the job done.
PROJECTS
Accenture North America's Data Analytics and Visualization. 2024
- Import, clean, and transform data using Microsoft Power BI power queries.
- Built model by connecting relationships with the tables via their common entity.
- Created DAX measure for statistical purposes.
- The aim was to find the top 5 categories by popularity score.
DG Limited Sales Report For 2013 & 2014
- Import, clean, and transform data using Microsoft Power BI power queries.
- Built model by connecting relationships with the tables via their common entity.
- Created DAX measure for statistical purposes.
- Built visualization using Microsoft Power BI desktop to get insight from the dataset, such as, total sales, total profit, projected profit by country, projected profit by product, Number of sales, etc.
BG Sales Report
- Import, clean, and transform data using Microsoft Power BI power query.
- Built model by connecting relationships with the tables via their common entity.
- Created DAX measure for statistical purposes.
- Built visualization using Microsoft Power BI desktop to get insight from the dataset, such as, total sales by each territory and chain in months and years, etc. It also shows the well-performing territory.
- Reported the number of territories, competitive territory, and number of sales.
TNMT Retail Sales 2020 Dashboard
- Import, clean, and prep data using Microsoft Excel power query.
- Built models by connecting relationships with the tables.
- Calculated the revenue and profit for each sale.
- Built visualization using Excel charts showing the trend in sales, such as revenue trend, product by revenue, top revenue product in January, sales team with the most revenue, etc.
Product Sales Dashboard
- Import, clean, and prep data using a Microsoft Excel power query.
- Calculated average price, total revenue, and unit sold for each product.
- Built visualization using Excel charts showing the total revenue trend, product performance, units sold, average revenue analysis, and sales consistency across the product.