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Az-har/README.md

Hi, I'm Azhar 👋

Process Mining Engineer (Celonis) • Data Engineer

Building scalable process mining data models, high-volume ETL pipelines, and applied operational intelligence workflows.

LinkedIn Email GitHub


🚀 Projects

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


🛠️ Technical Skills

  • 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

GitHub Streak

Popular repositories Loading

  1. Az-har Az-har Public

    Config files for my GitHub profile.

  2. automotive-analytics-project automotive-analytics-project Public

    Modern Data Engineering analytics pipeline built with dbt, DuckDB, and SQL for multi-dimensional automotive data modeling.

    Jupyter Notebook

  3. O2C_AI O2C_AI Public

    Enterprise Order-to-Cash (O2C) Process Intelligence & AI pipeline with predictive machine learning, RAG validation, and automated operational evaluation.

    Python

  4. scratchpad-python scratchpad-python Public

    Collection of standalone Python scripts and experiments (donut, ascii art, password generator)

    Python

  5. youtube-summarizer-audiobook youtube-summarizer-audiobook Public

    Autonomous local multi-agent AI pipeline transforming YouTube playlists & audio into EBU R128 mastered audiobooks and structured digests.

    Python

  6. enterprise-synth-data enterprise-synth-data Public

    Enterprise-grade, memory-efficient (< 4GB RAM) synthetic data generation and format-preserving referential data masking studio with an embedded 42k SAP data dictionary.

    Python