Building scalable process mining data models, high-volume ETL pipelines, and applied operational intelligence workflows.
Enterprise Order-to-Cash (O2C) delay prediction and process intelligence engine. Combines predictive machine learning (Gradient Boosting) on SAP transactional data with semantic contract retrieval to classify delivery risks and identify operational process bottlenecks.
Celonis / SAP • Python • PQL & Process Mining • Gradient Boosting • RAG
Automotive pricing and market analysis pipeline. Built an ETL workflow in Python and SQL to ingest and clean automotive listing datasets, designed dimensional data models with dbt, and analyzed depreciation trends in Power BI.
dbt • SQL • Python • Power BI
Local multi-agent pipeline that downloads YouTube videos or playlists, transcribes speech with GPU-accelerated Whisper, runs an LLM editorial evaluation loop, and produces mastered audiobooks.
Whisper large-v3 • AMD Vulkan • Ollama • FFmpeg
Curated collection of standalone Python scripts, including a real-time 3D spinning donut terminal animation, an image-to-ASCII converter, and CLI utilities.
Python • Algorithms • CLI Tools
- Process Mining: Celonis, Object-Centric Process Mining (OCPM), Case-Centric Process Mining (CCPM), Process Optimization
- Celonis Engineering: Celonis PQL, Celonis Data Models, KPI Development, Celonis ML Workbench
- Data Engineering: SQL, ETL Pipelines, Delta Loading / Incremental Processing, Data Modeling, dbt, Snowflake, PostgreSQL
- Operational Engineering: Root Cause Analysis (RCA), Incident Debugging, Backend Support, Production Monitoring
- Additional Tools & Languages: Python (Pandas, NumPy), Power BI, Git

