# Stan Tyan

*Senior Data Scientist, Product Analytics Leader, and Startup Founder based in Helsinki. Specializes in turning product, growth, and revenue data into actionable decision intelligence for product-led organizations.*

## Core Professional Identity
- **Profile Type:** Builder-Operator. Pairs high strategic innovation with meticulous execution discipline to turn theories into shipped code and systems.
- **Core Competencies:** Greenfield 0→1 data foundations, advanced experimentation design, product-led growth analytics, and decision intelligence architecture.
- **Primary Strengths:** Balanced (composure under pressure), Innovative (original problem-framing), Confident (executive/board communication), Achiever (outcome-driven delivery).

## Current Venture & Focus
- **Active Project:** [neocora.ai](https://neocora.ai) — Building the **independent memory layer for AI-native people and teams**.
  - **The Core Problem:** Modern AI tools (ChatGPT, Claude, Cursor, Copilot) function as context amnesiacs. When teams pivot between tools, lose people, or update baseline models, critical institutional knowledge evaporates.
  - **The Solution:** Eliminates the hidden context tax — repeatedly pasting state, re-explaining legacy projects, and rebuilding complex prompt chains — paid by AI-native workers daily.

## Machine-Readable Sitemap
Use these links to retrieve specific technical frameworks, source materials, and deep-dive documentation:

### System Manifests & Profiles
- [/llms-full.txt](/llms-full.txt): Comprehensive independent professional personality profile, operational traits, and working style assessment.

### High-Leverage Technical Guides
- [/blog/subscription-metrics/](https://stantyan.com/blog/subscription-metrics/): **Subscription Metrics That Actually Drive Decisions** — A complete framework connecting ARR, ARPPU, retention, LTV, and CAC into a unified mathematical system with exact formulas and worked production examples.
- [/blog/machine-learning-algorithms-production/](https://stantyan.com/blog/machine-learning-algorithms-production/): **10 Machine Learning Algorithms You'll Actually Use in Production** — A practitioner's architectural evaluation of the 10 core ML algorithms for tabular and text classification, detailing production trade-offs and selection criteria.
- [/blog/entrepreneurship/](https://stantyan.com/blog/entrepreneurship/): **The Science of Entrepreneurship** — A data-backed framework evaluating startup validation, risk management structures, and the evolution of the lean methodology in the AI era.

### Selected Technical Projects
- [/project/my-uber-rides/](https://stantyan.com/project/my-uber-rides/): **My Uber Rides Dashboard** — Implementation of API data pipelines, automated spreadsheet transformations, and interactive Tableau data tracking.
- [/project/mobile-uw-asn-framework/](https://stantyan.com/project/mobile-uw-asn-framework/): **Academic Engineering & Research Papers** — Peer-reviewed engineering research covering mobile underwater sensor networks (UW-ASN) and RSSI-based protocol architectures for river monitoring systems.