Projects

List of AI \ ML tools, projects, and processes I use to improve business outcomes, enhance productivity, and/or that I find interesting.

  1. Optimizing for Cash vs Clicks: A Revenue-Driven Approach to Digital Product Optimization and Experimentation
  2. Jira / Chat GPT Integration – Product Manager Story Creation Tool
  3. AI-Powered Product Management Workshop
    • I was invited to lead a two-hour workshop on AI-driven product management techniques for Zonda’s product team (Homes.com, Apartments.com, NewHomeSource.com).
    • Project Goal: Design and deliver a comprehensive workshop on AI-driven product management techniques for enterprise product teams.
    • Key Concepts: Created practical frameworks for implementing AI tools to improve efficiency and decision-making in product management workflows.
    • Presentation & Workshop Materials:
  4. AI-Assisted Dad Humour Book
    • Project Goal: Create, organize and publish a collection of dad jokes leveraging AI for content generation and publishing processes.
    • Key Concepts: Utilized AI as a collaborative tool for idea generation, copywriting, content organization, and Amazon KDP publication workflow.
    • Book Link:
  5. GEMBA translation measurement
    • Project Goal: Evaluate machine translation quality using Microsoft Translator and large language model assessment methodologies.
    • Key Concepts: Developed metrics for measuring translation accuracy and fluency using LLM-based evaluation frameworks.
  6. Note summarization custom GTP
    • Project Goal: Transform raw meeting transcripts into structured, actionable summaries for improved team communication.
    • Key Concepts: Automated extraction of attendee lists, action items, key outcomes, and strategic decisions from meeting transcripts.
  7. Quick Video Script and Image Creator – Creates the inputs for a short 60-second video on any topic
  8. ML Project to predict lead quality in lead generation products
    • Project Goal: Build predictive models for lead quality and conversion probability using limited self-reported user data. Key Concepts: Applied machine learning techniques to identify high-value leads based on form submission data alone.
    • Article (By data science team member at Core):