PORTFOLIO
Samavia Nawaz
Data Analyst
Embedded Files
Tools
Tools
These are my go-to tools for creating dashboards, analyzing trends, and making data meaningful.
Methods
Methods
The techniques I rely on to keep data accurate, insights clear, and dashboards impactful.
About
About
Me
Me
I’m Samavia Nawaz, a data enthusiast with a background in Electrical Engineering and a Master’s in Industrial Engineering Management. Over time, I discovered my passion for making sense of data and turning it into clear, meaningful insights.
I enjoy working with tools like Power BI, Tableau, Excel, Python, and SQL to build dashboards and visualizations that not only track performance but also support smarter business decisions. What drives me most is the ability to take raw information, uncover patterns, and present results in a way that’s both insightful and easy to understand.
Always eager to learn and grow, I look forward to contributing my skills to projects where data can truly make an impact.
Projects
Projects
Sales and Profit Analysis Dashboard
Sales and Profit Analysis Dashboard
This project presents an interactive dashboard to analyze company performance across multiple dimensions such as region, year, month, segment, shipping mode, and category. The dashboard helps decision-makers track sales, profit, and quantity trends to identify high-performing areas and optimize business strategy.
This project presents an interactive dashboard to analyze company performance across multiple dimensions such as region, year, month, segment, shipping mode, and category. The dashboard helps decision-makers track sales, profit, and quantity trends to identify high-performing areas and optimize business strategy.
Tool: Microsoft Excel (Pivot Tables, Pivot Charts, and Slicers)
Data source: Superstore Sales Data
The dashboard shows profit by region, where the West region performs best, while Central lags behind. Category analysis highlights Technology as the most profitable, whereas Furniture has high sales but low profit. Segment insights reveal that Consumers drive the most sales, and Office Supplies lead in quantity sold. Shipping mode analysis shows Standard Class as the most used. These comparisons help in identifying strengths and problem areas.
Excel dashboard
Nike Sales Dashboard
Nike Sales Dashboard
Built a three-page interactive Power BI dashboard for Nike to analyze sales performance, track product profitability, and explore regional market trends. The report helps stakeholders identify top-performing products, monitor customer feedback, and make informed business decisions.
Built a three-page interactive Power BI dashboard for Nike to analyze sales performance, track product profitability, and explore regional market trends. The report helps stakeholders identify top-performing products, monitor customer feedback, and make informed business decisions.
Tool: PowerBI
Data source: Nike sales and performance data (Excel)
Overview Page
The Overview Page gives a first look at Nike’s product lineup with visuals and short descriptions. It highlights key products like the Jordan Modero 2 VP and includes a product gallery, making it easy to browse different items before moving into detailed analysis. .
Insights Page
The Insights Page highlights Nike’s product performance using key metrics such as profit, units sold, ratings, and reviews. It provides a quick snapshot of how different products are doing in the market and helps identify which items bring the most value.
Performance Page
The Performance Page tracks profitability for the Air Jordan 1 Mid, showing profit by sales in a bar chart and profit by region with a line graph. It gives a clear picture of where the shoe performs best and how profits shift across different markets, making it easier to spot growth opportunities.
Data scientist Salaries Dashboard
This project provides an overview of data science jobs, focusing on salaries, experience levels, company sizes, and employment types. It helps compare pay scales across countries and job categories.
Tool: Tableau
Data source: Data Science Salary Dataset (from Kaggle)
The dashboard shows that most professionals are in entry- and mid-level roles, with full-time positions being the most common. Medium and large companies dominate hiring, while small firms employ fewer data scientists. Salaries rise significantly with experience, and countries like the US and those in Europe offer the highest pay. Full-time roles remain the most consistent and well-paying across all categories.
Sales, Profit & Customers Analysis Dashboard
Sales, Profit & Customers Analysis Dashboard
This Excel dashboard analyzes sales, profit, and order quantities across regions, categories, and customer segments. It helps identify top-performing areas and highlights gaps such as low profitability in certain categories.
This Excel dashboard analyzes sales, profit, and order quantities across regions, categories, and customer segments. It helps identify top-performing areas and highlights gaps such as low profitability in certain categories.
Tool: Microsoft Excel (Pivot Tables, Pivot Charts, Slicers)
Data source: Superstore Sales Dataset
Excel dashboard
This dashboard tracks sales, profit, and customer growth over time while comparing monthly performance against set targets. It highlights completion rates, customer trends, and regional contributions, giving a clear picture of business progress. The visuals make it easy to spot strong months, weaker periods, and regional variations.
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