Workforce Researcher
Mar 18, 2026
Business-intelligence style system that tracks conversations about AI, automation, and job impact by combining semantic filtering, persistence, and dashboard analytics.
Highlights
- Built Slack ingestion and semantic detection using embeddings rather than brittle keyword rules.
- Persisted results into MongoDB for downstream analysis and historical review.
- Added Streamlit dashboards for trend analysis, sentiment, and keyword exploration.
- Focused on real-time workflow integration instead of notebook-only analysis.
Tech Stack
Python, Slack API, OpenAI embeddings, MongoDB, and Streamlit.
Why It Matters
This project demonstrates practical NLP product thinking by combining ingestion, semantic filtering, persistence, and decision-friendly reporting.
