These data projects showcase how I use SQL to transform raw data into insights that drive action.
Each project is built around real-world scenarios – from product data cleaning and churn flagging to sales segmentation and dashboard logic.
While some projects were developed as part of certification programs (like DataCamp and DA501P), they reflect real analytical thinking, stakeholder awareness, and business-oriented outcomes.
This is not just technical skill – it’s data with direction.
🧹 Cleaned and structured product data for pricing strategy, demand planning, and inventory control
🧠 Churn flagging and risk detection, based on behavior and product availability logic
🔁 Sales pipeline analysis using joins, filters, and aggregate queries across regions and categories
🔍 Exploratory SQL logic for segmentation, performance ranking, and opportunity mapping
🛠️ Reporting-ready data sets, structured to support dashboard development and BI insights
➤ Curious how raw data turns into insights? Dive into My GitHub Data & SQL Projects →
➤ Want to explore tools and credentials? Visit Certifications →
➤ Want to see the strategic results of these methods in practice? Explore my Business Cases →
Here you'll find hands-on examples of my work in SQL, data transformation, and analytics engineering. Each project showcases practical use of modern tools and best practices – from raw data to insight-ready solutions.
Here you'll find hands-on examples of my work in SQL, data transformation, and analytics engineering. Each project showcases practical use of modern tools and best practices – from raw data to insight-ready solutions.