Aditya Sharma
Turning complex data into decisions you can act on.
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Sales Performance Dashboard
Built an interactive sales dashboard in Power BI to analyze sales, profit, quantity, and orders across different months, regions, and markets.
I worked with the data to create key performance indicators and visualizations that make it easier to understand sales trends and regional performance.
The dashboard includes:
Total Sales, Profit, Quantity, and Orders
Monthly sales trends
Sales breakdown by order region
Profit comparison across market regions
Interactive month filtering
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Spotify Data Analysis
Analyzed a Spotify tracks dataset using Python to understand patterns in music features and popularity.
I cleaned and explored the data, looked at relationships between different audio features, and created visualizations to make the findings easier to understand.
What I explored:
Correlation between audio features
Popularity trends over the years
Distribution of danceability, energy, valence, tempo, and loudness
Relationships between different characteristics of tracks
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:Netflix Content Analysis
Analyzed the Netflix titles dataset using Python to explore content trends and patterns. I cleaned and explored the data, then created visualizations to look at the balance between Movies and TV Shows, top countries, content release trends, and popular genres.
Tools: Python, Pandas, Matplotlib, Seaborn
Key areas explored:
Movies vs. TV Shows
Top countries by number of titles
Content release trends over the years
Most common genres
The goal was to turn a raw dataset into simple visual insights that are easy to understand.
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