Shipping Cost Prediction
Machine-learning application that predicts and compares shipping costs across multiple carriers using structured logistics data.
GitHubSoftware • Cloud • Data • Logistics
Building software for complex business problems.
I'm Joshua Lane, a computer science graduate with 10+ years of experience in logistics systems, parcel pricing, product, and process improvement. I build cloud applications and data-driven tools that turn complicated business rules into usable software.
Featured Project
Parcel Rate Engine
A cloud-based parcel rating application that turns shipment characteristics into eligible services, billable shipments, transportation charges, accessorials, fuel surcharges, and comparable quotes.
Explainable parcel pricing, end to end.
The application models carrier-service eligibility, dimensional and billable weight, accessorial precedence, delivery-area charges, declared value, transit commitments, and fuel surcharges.
Rate ComparisonSample output
PartnerLine LogisticsGround$361.55
ConTracksGround Residential$364.85
PartnerLine LogisticsThree Day Road$415.16
ConTracksAir Saver$441.73
Fictional carriers and simulated pricing are used for demonstration.
Selected Projects
More work
GambStats
Serverless application for organizing gambling trips, sessions, and games with domain rules enforced through an AWS backend.
Experience Meets Engineering
Domain knowledge behind the code.
My background spans parcel pricing and rating systems, product and process improvement, operational analysis, and software development. That experience shapes how I approach software: understand the business rules, model them clearly, and build systems whose results can be explained.
10+ yearsLogistics, product & process experience
Parcel pricingRating-system domain expertise
B.S. Computer ScienceWestern Governors University
AWSServerless application development
Technologies
Tools I work with
PythonJavaSQLAWSREST APIsDynamoDBSpring Bootpandasscikit-learnStreamlitDockerGit