Hello
Dan Fyneface
Data Analytics • Analytics Engineering • Data Science
Building intelligent analytics systems that reduce risk and improve confidence in decision-making.
Who I Am
I design and build modern analytics solutions that combine data engineering, analytics, machine learning, and executive reporting to solve complex operational and business challenges.
My work spans supply chain, manufacturing, logistics, retail, and operational analytics.
FEATURED PROJECTS
ORDER INTELLIGENCE
Data extraction & Engineering → Analytics → ML → Deployment → GenAI Demand Planning Assistant
“No API. No database access. Just a spreadsheet someone forgot to refresh — and 553,000 rows of order history riding on it.”
From a broken data source to a self-monitoring pipeline: 27 fault-isolated ingestion stages (AWS → Airflow → Snowflake → dbt), capped with an AI agent that catches anomalies and forecasts demand before a human has to ask
DP Case Study
Statistical Rigor & Business Communication
“A customer’s system kept slipping into failure — and nobody could say why. The regression said it wasn’t the equipment. It was the weather.”
A real interview case study: HAC regression, interaction effects, and a recommendation deck built to survive questioning from people who run the plant for a living.
ATLIQ SC Analysis
On Time, In Full, and OTIF % metrics
“AtliQ Mart’s biggest customers were quietly not renewing — and leadership blamed ‘service issues’ with no data to back it up.”
I built the OTIF tracking system that finally showed exactly where delivery promises were breaking down, city by city, customer by customer.
Customer Intelligence
Analytics → ML → Deployment → GenAI
“Which customers are about to walk — and what should you actually do about it before they do?”
From RFM segmentation to churn prediction to a GenAI layer that explains the why behind every score, not just the number.
I’m a data professional with experience working across analytics, applied data science, and data systems, focused on learning fast, solving ambiguous problems, and turning data into practical decisions.