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LanaGeis/README.md

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Hi, I'm Lana Geissinger

I combine finance operations, analytics, automation, and applied AI to solve real business problems.

I’m a Financial Billing Analyst II with 17+ years of experience across finance, accounting, billing, and business operations. I build practical analytics and automation solutions that support better business outcomes.

My current focus is business process automation and AI-enabled solutions, using data and technology to make complex processes work better.


What I work on

  • Finance and billing analytics
  • AI-assisted analysis and decision support
  • Business process automation
  • Reporting and KPI development for operational and leadership use

Featured projects

Verielle — Applied AI Decision-Support System

Watch Demo
Verielle demo thumbnail

Verielle is a prototype AI critical-thinking companion designed to help people work through complex decisions with more structure and clarity.

It combines a personal Thinking Profile, a curated wisdom library, hybrid RAG, and a fine-tuned language model to offer a thoughtful additional perspective on a user’s dilemma. A Thinking Crew framework supports the process.

Developed as an experimental prototype, Verielle explores how generative AI can support human reflection and critical thinking while keeping final judgment with the human.

Borrow the machine’s perspective. Keep the decision human.

Problem: Understand workforce trends and automation impact using public data.
Approach: Prepared and analyzed BLS/O*NET data, then translated findings into clear reporting.
Built with: Python, Power BI.
Result: Decision-friendly visuals and trend insights.

Problem: Create consistent, repeatable Excel outputs from paginated reporting workflows.
Approach: Built a reusable reporting/export process for recurring operational needs.
Built with: Power BI Paginated Reports.
Result: More standardized reporting output for business use.


Capabilities

  • Translate business questions into metrics, logic, and analysis plans
  • Build dashboards and reporting that support action
  • Use Python/SQL for data preparation, analysis, and prototyping
  • Apply automation to reduce repetitive manual work
  • Design practical AI workflows with human review in mind

Current technical development

I’m currently deepening hands-on implementation in:

  • LLM applications and retrieval design (RAG)
  • API-based app structure
  • Containerization and cloud deployment basics
  • Monitoring and reliability for applied AI workflows

Selected technologies

Python, SQL, Power BI, Excel, Power Automate, Office Scripts, R, Tableau, Git/GitHub, Generative AI, RAG


Education

  • M.S. in Data Science (in progress)
  • B.A./B.S. in Economics and Management, and Accounting

Languages & Tools

Power BI SQL Python R pandas Excel Tableau GitHub


Connect

LinkedIn

Open to Financial Analyst, Data Analyst, Business Intelligence Analyst, Revenue Analyst, and Power BI-focused opportunities where analytics supports measurable business outcomes.

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  1. Employment-Trend-Analysis Employment-Trend-Analysis Public

    A milestone-based data science project exploring how automation and AI affect U.S. occupations and skills. Data collected from BLS, O*NET, and other sources, cleaned and merged into SQLite, with an…

    HTML

  2. US_baby_names_exploration US_baby_names_exploration Public

    A 140-year analysis of naming patterns, cultural shifts, and generational trends using the SSA dataset. Features data cleaning, Matplotlib visualizations, and exploratory analysis.

    Jupyter Notebook

  3. MAP-Student-Math-Misunderstandings_Kaggle MAP-Student-Math-Misunderstandings_Kaggle Public

    NLP + Machine Learning project identifying student math misconceptions using open-ended responses. Includes TF-IDF, embeddings, logistic regression, deep learning baselines, and full model evaluation.

    Jupyter Notebook

  4. verielle verielle Public

    Prototype AI critical-thinking companion combining hybrid RAG, fine-tuning, and prompt engineering to help people explore life dilemmas from different perspectives.

    Python