Senior Data & Analytics professional — leading a Microsoft Fabric migration by day, building agentic AI apps by night.
I work across three pillars: BI & Analytics, Data Engineering, and AI & ML — from designing semantic models and pipelines that serve entire businesses, to shipping small, sharp AI applications end to end.
- Leading data platform work at ACO — Microsoft Fabric migration, Azure Data Factory & Databricks pipelines, plus team and vendor management
- Building agentic AI projects with LLMs, tool use, and vector search (see pinned repos below 👇)
| Project | What it is | Stack |
|---|---|---|
| Subreddit Pulse | Live AI app that turns any subreddit into structured insights — showing how tool use lets a small model punch above its weight | GPT-4o-mini · Tavily · Gradio · Hugging Face Spaces |
| VoC Risk Scorecard | Trust-audited AI for voice-of-customer analysis — retrieval quality measured (precision/recall), not assumed | SQL · vector search · agentic AI |
| MRI Disease Classification | Deep-learning app classifying MRI scans for disease recognition | Python · TensorFlow · computer vision |
BI & Analytics: Power BI · DAX · Power Query (M) · SQL · semantic modelling Data Engineering: Microsoft Fabric · Azure Data Factory · Databricks · ETL/ELT pipelines AI & ML: Python · TensorFlow · OpenAI APIs · LLM apps · agentic workflows · time-series forecasting
Insurance analytics → data science (General Assembly, ML & predictive modelling) → Analytics Developer at Skanska (BI + ML/LLM solutions across £1B+ of construction projects) → leading data & analytics at ACO. The through-line: turning messy data into decisions people actually make.
- 🌐 Portfolio: https://ailinnesse.github.io/
- 💼 LinkedIn: linkedin.com/in/tatiana-patrusheva