Projects

Real machine learning work — each one tied to a problem a business actually has.

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What the models actually do

Every project below started as a real question — who's about to cancel, what's the right price, what's hiding in the data. Each card explains the model in plain terms and how the same approach applies to a business like yours. Interactive demo dashboards are further down.

Logistic Regression · Clustering

Spot the Customers About to Leave

A model that scores each customer's risk of canceling — built from purchase history, support tickets, and order value. The same approach lets a business flag at-risk customers early and step in before they're gone.

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Demand Analysis · Pricing

Find the Prices That Maximize Revenue

An analysis of how price changes moved sales across a product catalog, pinpointing the revenue-maximizing price for top products. The same work helps a business stop guessing on pricing — and stop leaving money on the table.

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Unsupervised NLP · Topic Modeling

Understand What Customers Are Really Saying

Topic modeling that reads thousands of product reviews and surfaces the themes — what people love, what they complain about. The same approach turns reviews, surveys, and support tickets into clear product and marketing direction.

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Logistic Regression · Classification

Automatically Filter Low-Quality Submissions

A classifier that separates legitimate job listings from scams with 90% accuracy. The same approach can auto-screen applications, form submissions, or reviews — flagging the junk so your team only sees the real thing.

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Isolation Forest · Unsupervised ML

Catch Unusual Activity Before It Costs You

Anomaly detection that flags behavior breaking the normal pattern — odd logins, file access, USB events. The same method can watch a business for fraud, theft, or costly mistakes the moment they start.

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Supervised ML · Security

Flag Network Threats Early

Supervised learning over labeled network traffic to highlight command-and-control and beaconing patterns. The same detection approach gives a business early warning on threats hiding inside normal-looking activity.

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Try them yourself

Interactive Demo Dashboards

Sample dashboards you can click through — the kind of live, filterable analytics tools we build, adapted to your data and stack.

Restaurant Margin Explorer

Restaurant Margin Explorer

Join sales with labor & delivery fees to see true profit by dish, hour, and channel.

Toast7ShiftsUber Eats
Home Services Live Job Tracker

Home Services Live Job Tracker

Status aging, stuck-job alerts, and route efficiency — fed by CRM + Sheets/QuickBooks.

Jobber/ServiceTitanGoogle SheetsQuickBooks
Real Estate Market & Deal Analyzer

Real Estate Market & Deal Analyzer

Market trends, property comps, and ROI forecasts — helping agents & investors find high-return deals faster.

MLS DataPostgresStreamlit
Power BI Business Dashboards

Power BI Business Dashboards

Employee, sales, and operations dashboards — KPIs and trends at a glance.

Power BISalesOperations
Can you connect to my tools?

Yes. We build on what you already use (Toast, Jobber/ServiceTitan, Shopify, QuickBooks, Power BI, Sheets, custom CRMs, etc.) and centralize it into a clean model the AI and dashboards run on.

Can these models be adapted to my business?

That's the point. The projects above were built on sample or public data — for a client build, we retrain the same approach on your data, integrate it into your workflow, and hand it off with documentation and ongoing support.

Educational Guides

Microsoft Azure E-comm Engineering Guide
AWS Full-Scale Analytics Platform (Dark) | AWS Full-Scale Analytics Platform (Light)
Modern Regression in R — A Practical Guide

Want one of these adapted to your data? We'll scope it on a free call.

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