Jim Felps

Finance, Data, and Automation.

I combine finance, data, and automation to turn business questions into useful, repeatable analytical products.

Projects built around real questions.

01 Live Project

Airfare Price Tracker

When should I buy airfare to Hawaii and what makes an itinerary worth the price?

An automated data product that collects airfare pricing, applies real-world itinerary constraints, stores historical observations, and turns the results into decision-ready analysis.

Python API Integration SQLite Automation Analytics
02 Live Project

PMI Transformation Tracker

How quickly is Philip Morris transforming from a cigarette company into a smoke-free nicotine company?

A financial and operating analysis that transforms public disclosures into a structured analytical model of volume, revenue, profitability, pricing, and growth drivers.

Python SEC / XBRL SQLite Financial Analysis Streamlit
01

Finance

Understand the economics behind the question and identify what information actually matters to the decision.

  • Operating economics
  • Financial analysis
  • Decision support
02

Data

Turn messy source information into structured, reliable analytical models that can answer the question.

  • SQL & Python
  • Data modeling
  • BI & visualization
03

Automation

Move beyond one-time analysis by building repeatable processes and products that continue to create value.

  • Data pipelines
  • APIs
  • Automated workflows
Business Question → Structured Data → Analysis → Decision

Finance experience.
Technical curiosity.

My career has moved from accounting into operational finance and finance transformation, increasingly focused on the data and systems behind good business decisions.

At every stop, technical curiosity has been a constant. It started with simplifying non-value-added tasks in accounting and grew into using BI tools to become a better financial storyteller. Creating that capacity gave me more time to understand the business itself by building relationships with leaders outside of finance, learning how their operations worked, and understanding their needs and pain points.

That same curiosity drives the work here. These projects are a sandbox for exploring new tools, solving interesting problems, and finding better ways to turn data into useful decisions.

More on LinkedIn →