PORTFOLIO

Jacob Scott Hamling

Software + analytics developer building practical systems for insurance and financial workflows.

I build internal web apps, automation, and applied modeling tools that reduce turnaround time, improve data quality, and enable better decisions. I’m especially interested in product-grade workflow design, clean data pipelines, and measurable business impact.

West Des Moines, IAWorkflow systemsAutomation modernizationApplied modeling
Jacob Scott Hamling
Student at the University of Iowa
West Des Moines, IA
Currently: Shipping internal workflow tooling

About

A concise view of what I build and what I optimize for.

Professional focus

I like projects where engineering quality directly translates into business outcomes: fewer handoffs, cleaner data, and faster decisions. My work has centered on internal workflow systems (portals, approvals, auditing), automation modernization, and applied modeling for operational support.

Snapshot
3
Internships
100+
Volunteer hours
88%
ML MVP accuracy
80%
Turnaround reduction
Quick facts
Education
University of Iowa
Programs
Informatics · Economics · RMI
GPA
3.6/4.0
Primary interests
Workflow systems · Data tooling
Organizations
  • Gamma Iowa Sigma (Insurance & Risk Management Fraternity)
  • Economic Student Association
  • Tippie Tech
  • Applied AI Student Organization

Skills

Grouped by category with a conservative proficiency signal based on repeated project usage.

Practical depth
LANGUAGES
Python
automation + data workflows
Strong
SQL
analysis + reporting
Strong
C# / .NET
internal apps + services
Proficient
HTML/CSS
UI polish
Proficient
FRAMEWORKS
Blazor
portals + UI workflows
Proficient
EF Core
data access patterns
Proficient
ASP.NET
services + APIs
Working knowledge
DATA/ANALYTICS
Power BI
dashboards + delivery
Proficient
Econometrics / Modeling
predictive work
Proficient
API Integration
auth + nested data
Proficient
TOOLS
Git
branching + delivery
Proficient
Linux
tooling + workflow
Proficient
PowerShell
automation migrations
Proficient
CLOUD/DEVOPS
Azure ML Studio
modeling MVPs
Working knowledge

Labels are intentionally conservative and updated as I ship work.

Strengths
  • Shipping internal tools with clear workflow states and auditability
  • Data validation + quality improvements that reduce downstream rework
  • Integrations that handle nested data and auth patterns cleanly
Also working on
  • Sharper UI/UX systems for internal portals
  • More repeatable deployments and CI habits
  • Stronger evaluation discipline for modeling MVPs

Projects

A curated mix of work and personal builds, organized for quick scanning.

Policy Change Request Portal
Internal policy change intake, review, and approvals with audit-ready tracking.
Work
  • Workflow states: submit → review → comment → approve with live status visibility.
  • In-browser PDF preview/approval to streamline document review and reduce tooling overhead.
  • Central dashboard for request status, agent details, and audit history.
Blazor.NETEF CoreSQLPDFJWT
JAMS Workflow Migration
Modernized legacy automation jobs and scripts for reliability and maintainability.
Work
  • Audited and rewrote legacy PowerShell scripts in preparation for JAMS 2022 migration.
  • Removed obsolete scripts/configs to reduce system clutter and improve stability.
  • Helped enable a cleaner foundation for reporting modernization.
PowerShellJAMSOpsAutomation
Policy Cancellation Predictor (MVP)
Predictive model to flag at-risk policies using historical signals.
Work
  • Analyzed historical policy records to surface key risk signals (payment history, policy age, agent activity).
  • Trained an Azure ML Studio model and evaluated performance (88% accuracy reported).
  • Designed to support proactive retention outreach.
Azure ML StudioMLPredictive Modeling
CDC WONDER Data Extractor
Python automation tool to programmatically retrieve and structure mortality data.
Personal
  • Repeatable runs with normalized CSV outputs.
  • Grouping by geography/time/age bands for analysis-ready datasets.
  • Designed for monthly refresh workflows and longitudinal analysis.
PythonAutomationData Engineering
Food Friends
Full-stack mobile app concept focused on sharing food/recipes and social discovery.
Personal
  • Full-stack app planning with user flows and feature structure.
  • Designed around lightweight social + discovery mechanics.
  • Built to be iterated as a portfolio-grade product concept.
Full-StackMobileProduct
Text Adventure Game
Python CLI project focused on structure, branching, and clean game logic.
Personal
  • Interactive branching story mechanics with reusable functions.
  • Emphasis on readable state management and modular design.
  • Good demonstration project for core Python fundamentals.
PythonCLIProgramming

Experience

Roles with measurable impact and concrete deliverables.

Web Application Developer Intern
Homesteaders Life Company · West Des Moines, IA
May 2025 – Dec 2025
Blazor.NETEF CoreSQLPDF
  • Developed an internal Policy Portal to submit, review, and approve policy change requests in real time; replaced paper/email workflows and reduced turnaround time by 80%.
  • Built an integrated in-browser PDF preview + approval flow with commenting and finalization.
  • Created a centralized dashboard for tracking request status, agent details, and audit history to reduce follow-up communication.
  • Automated validation and data-entry workflows to improve submission quality and cut manual correction work by 40%+.
Data Analyst Intern
Homesteaders Life Company · Remote
Aug 2024 – May 2025
PowerShellJAMSPower BI
  • Contributed to early migration work for 150+ legacy automation workflows (JAMS 2014 → JAMS 2022) by auditing and rewriting PowerShell scripts to improve reliability.
  • Identified and deleted 300+ obsolete scripts and unused configuration files to reduce clutter and improve stability.
  • Supported groundwork for transitioning reporting/document delivery to Power BI dashboards for 100+ employees.
Application Developer Intern
Homesteaders Life Company · West Des Moines, IA
Oct 2023 – Aug 2024
Azure ML StudioBlazor.NETSQL
  • Supported machine learning initiatives in Azure ML Studio by developing/training a policy cancellation predictor; achieved 88% prediction accuracy and enabled early identification of at-risk policies.
  • Diagnosed and resolved bugs, optimized performance, and maintained Blazor internal applications for smooth cross-department workflows.

Contact

Best channel: email. I respond quickly to project and internship outreach.

Let’s talk

If you're reaching out about a role, project collaboration, or want to discuss my work in workflow systems and data tooling, email is the fastest path. Include a short goal and any constraints—I’ll reply with direct next steps.

Preferred context

When you email, the most helpful details are:

  • What you’re trying to achieve (outcome)
  • Constraints (deadline, data systems, stakeholders)
  • Links (job post, repo, document) if relevant