Projects
Hi, I'm Kevin. I turn expert knowledge into tools anyone can use.
I'm a data scientist working with SQL, Python and business process automation. Before that, I worked as a data engineer and app developer. Most of my work starts with a task that only one or two experienced people know how to do. I capture their rules in code so that anyone on the team can get the same result in a few minutes.
What I work on
📊 Data analysis
Find the cause of a business question in the data and present the answer in numbers.
🗃️ SQL
Joins, window functions and CTEs to reconcile, clean and aggregate data from several systems.
🐍 Python
pandas and NumPy for data processing, plus scripts and small apps that put the logic in users' hands.
⚙️ Process automation
RPA-style automation for enterprise systems, built to run unattended under strict IT constraints.
Featured projects
SAP vs QWMS Inventory Reconciliation
Inventory reconciliation between the ERP and the warehouse system used to require an expert. I turned it into a self-service web tool that anyone can run in under 5 minutes.
MasterSQLPython.com
A free platform for practicing SQL and Python online. It has four editors, AI query explanations, challenges and certifications, and I designed and built all of it myself.
Customer Churn Prediction
An early-warning model that flags at-risk customers 1–2 weeks before they leave, scored automatically every day so the retention team can act in time.
Predictive Lead Scoring
Replaced checklist-based lead qualification with a conversion score shown inside the CRM, so sales reps start with the leads most likely to buy.
Propensity-to-Buy Model
Combined website behavior, NLP intent signals from emails and external market data into a daily 0–100 score in the CRM, so sales reps engage accounts when they are actually ready to buy.
Supply Chain Optimization
Connected ERP, warehouse, transport and supplier data to forecast demand for 3,200+ SKUs every day, set inventory targets per product and warn procurement about at-risk suppliers weeks in advance.
Tiered Pricing Optimization
Found where customers hold back usage just below pricing-tier cutoffs and how price sensitivity varies by industry, then proposed a tier and segment pricing plan with an interactive revenue simulator.
Practice SQL and Python online
Free SQLite, DuckDB, pandas and NumPy editors with AI query explanations.