I'm a Process Analyst and MSc Computer Science student at the University of Vienna, with a background in business, digital analytics, process analysis, and software quality.
I am interested in understanding, analysing, and improving business processes through process mining, data analytics, process modelling, and technology. I enjoy working at the intersection of business processes and technical solutions.
- Business Process Analysis & Optimization
- Process Mining & Process Intelligence
- BPMN & Process Modelling
- SQL & Python Data Analytics
- AI-assisted Process Analysis
- Data Analytics & Machine Learning
- Celonis
- PM4Py
- BPMN 2.0
- Process Discovery
- Conformance Checking
- Process Performance Analysis
- Python
- SQL
- Pandas
- Power BI
- Tableau
- Data Visualization
- scikit-learn
- PyTorch
- TensorFlow
- LightGBM
- Clustering
- Time Series Forecasting
- Git & GitHub
- Java
- Spring Boot
- REST APIs
- Docker
- PostgreSQL
Process mining analysis of a real-world event log using process discovery, conformance checking, performance analysis, and resource analysis to identify bottlenecks, process deviations, and improvement opportunities.
Currently developing a process intelligence platform that combines process mining, process KPIs, bottleneck analysis, and AI-assisted process improvement recommendations.
Research project applying multi-view clustering and time-series forecasting to electricity consumption data.
Data and machine learning project exploring clustering and forecasting of electricity consumption.
MSc Computer Science University of Vienna
BS Information Technology Quaid-i-azam University
- Advanced Process Intelligence
- Data Engineering
- Machine Learning Engineering
- Cloud & Data Platforms