Selected Work
Three datasets, three different stories.
N°01 — Python
Retail Sales Data Analysis
Cleaned and analyzed a multi-year retail transactions dataset — handling missing values, engineering date-based features, and reviewing outliers — to uncover patterns behind three years of sales.
- Compared performance across product categories to find the strongest and weakest sellers
- Found online sales consistently outperforming in-store sales
- Identified stable quarterly performance from 2022–2024, with no strong seasonality
- Flagged an incomplete final period and excluded it from trend comparisons to avoid a misleading conclusion
N°02 — Power BI
Freelance Platform Earnings Dashboard
Built an interactive dashboard analyzing nearly 1,950 freelancers across five major platforms, covering over $10M in tracked earnings, to compare how work and pay differ by platform.
- Compared job duration and completion rates across 8 job categories and 5 platforms
- Broke down earnings by experience level — Beginner, Intermediate, Expert
- Mapped marketing spend and freelancer distribution by client region
N°03 — Excel
Music Streaming Trends Dashboard
Designed an interactive dashboard analyzing over 50,000 tracks from 500+ artists across 32 countries, exploring what actually drives popularity in streaming data.
- Compared average popularity by country and by genre
- Tracked how popularity shifted across release years, 2020–2025
- Examined the relationship between loudness category and popularity
A selection from a broader portfolio of completed projects — more case studies, including a SQL-based data pipeline, will join this list soon.