Building practical data pipelines, process mining models, and automated AI tools.
flowchart LR
A["π¦ Data Sources<br/>(SAP ERP, Web Feeds, Media)"] --> B["βοΈ Pipelines & Analytics<br/>(Celonis EMS, Databricks, dbt)"]
B --> C["π€ Applied AI<br/>(Delay ML, Local Whisper, LLMs)"]
C --> D["π― Outcomes<br/>(Reduced Delays, Studio Audiobooks)"]
Enterprise Order-to-Cash (O2C) delay prediction and process intelligence engine. Built with Databricks, predictive machine learning on SAP data, and semantic contract retrieval to highlight delivery bottlenecks.
Databricks β’ Celonis / SAP β’ Python β’ XGBoost β’ RAG
Local multi-agent pipeline that downloads YouTube videos or playlists, transcribes speech with GPU-accelerated Whisper, runs an LLM editorial loop, and generates mastered audiobooks.
Whisper large-v3 β’ AMD Vulkan β’ Ollama β’ FFmpeg
Modern data engineering pipeline modeling vehicle market data into dimensional star schemas using dbt and DuckDB.
dbt β’ DuckDB β’ SQL β’ Python
Curated collection of standalone Python scripts, including a real-time 3D spinning donut terminal animation, an image-to-ASCII converter, and CLI utilities.
Python β’ Algorithms β’ CLI Tools
- Process Mining: Celonis EMS, PQL (Process Query Language), Action Engine, Event Log Modeling
- Data Engineering: Databricks, Apache Spark, dbt, DuckDB, Snowflake, PostgreSQL, Docker
- Languages & Tools: Python (Pandas, NumPy), SQL, Git, Linux / Bash

