Most businesses are sitting on a database full of answers they have never asked for. I turn your raw data into specific, actionable business findings, using advanced SQL to answer the questions that actually matter.
This service is for you if:
You need to understand what your sales data is actually saying
You want to find which customers, products, or segments drive the most value
You need inventory risk analysis, revenue trends, or customer segmentation
You have a SQL problem that needs a clean, documented solution
What I Deliver
A complete SQL analysis answering your specific business questions
Clean, commented queries using CTEs and Window Functions
A written findings summary in plain business language
Specific recommendations based on what the data shows
What I Have Done
In my ClassicModels SQL project, I answered 7 business questions using SQL only — and discovered a 67:1 demand-to-stock ratio on a high-margin product that was completely invisible without proper analysis. I also identified a customer just $33 away from the next loyalty tier as an immediate upsell target.
In my Olist analysis across 113,000+ orders, SQL was the backbone of identifying which two sellers were responsible for 8% of all late deliveries across the entire platform.
How It Works
You share your database schema or sample data
I confirm the scope and timeline
I deliver clean queries with a written findings report
Most businesses are sitting on a database full of answers they have never asked for. I turn your raw data into specific, actionable business findings, using advanced SQL to answer the questions that actually matter.
This service is for you if:
You need to understand what your sales data is actually saying
You want to find which customers, products, or segments drive the most value
You need inventory risk analysis, revenue trends, or customer segmentation
You have a SQL problem that needs a clean, documented solution
What I Deliver
A complete SQL analysis answering your specific business questions
Clean, commented queries using CTEs and Window Functions
A written findings summary in plain business language
Specific recommendations based on what the data shows
What I Have Done
In my ClassicModels SQL project, I answered 7 business questions using SQL only — and discovered a 67:1 demand-to-stock ratio on a high-margin product that was completely invisible without proper analysis. I also identified a customer just $33 away from the next loyalty tier as an immediate upsell target.
In my Olist analysis across 113,000+ orders, SQL was the backbone of identifying which two sellers were responsible for 8% of all late deliveries across the entire platform.
How It Works
You share your database schema or sample data
I confirm the scope and timeline
I deliver clean queries with a written findings report