Education
Micro-Masters Data Science
UC San Diego (edX) | California, USA | 2024 - 2026
- Grade: A
- Relevant Coursework: Python for Data Science, Probability & Statistics, Machine Learning Fundamentals, Big Data Analytics
Masters of Science in Power Engineering
Technical University of Munich | Munich, Germany | 2021 - 2025
- GPA: 1.5 (Distinction)
- Relevant Coursework: Energy Systems & Energy Economics, Energy Informatics, Wind Energy Systems, Battery Storage, Battery Applications, Renewable Energy Technology, Integration of Renewable Energies, Sustainable Mobility, Power Transmission, Thermodynamics
- Thesis: Development of a Graph Generative Model for Synthetic Distribution Grid Data Generation
Bachelor of Science in Mechanical Engineering
University of Engineering & Technology | Lahore, Pakistan | 2015 - 2019
- GPA: 1.4 (Top 10%)
- Relevant Coursework: Energy Resources, Numerical Methods & Computing, Project Management & Economics, Thermodynamics,
- Thesis: Statistical Evaluation of Wind Datasets for Pakistan
Professional Experience
Independent Contributor – Energy Systems Research
Chair of Renewable and Sustainable Energy Systems, TUM | Munich, Germany | Dec 2025 - Present
- Created a Python‑based tool to convert PandaPower grids to PyPSA networks from PandaPower Excel inputs, supporting a PhD student’s research on energy systems co‑simulation at TUM
- Technologies: Python, PyPSA, PandaPower, Docker
Data Engineer
Munich Electrification | Munich, Germany | Apr 2025 - Present
- Built a multi-page KPI dashboard using Streamlit for battery test data traceability
- Developed a PoC Manufacturing Execution System (backend, API, and database) for 15 test stations
- Technologies: Python, Streamlit, FastAPI, SQLAlchemy, AWS, SQL, Docker, Kubernetes
Master Thesis Student
Professorship of Energy Management Technologies, TUM | Munich, Germany | Nov 2024 - Apr 2025
Grade: 1.0
- Created a generative model to produce synthetic datasets for distribution grids using graph neural networks
- Conducted an extensive literature review on current techniques for benchmark dataset generation in distribution
- Technologies: Pytorch, Pytorch Geometric, Python, SQL
Working Student - Software Development & DevOps
Munich Electrification | Munich, Germany | Jul 2024 - Mar 2025
- Maintained a data-driven Python tool to provide actionable insights based on the test data from 15 test stations
- Automated AWS infrastructure using Terraform, improving scalability and efficiency
- Technologies: Python, AWS, Terraform, Docker, Kubernetes, Plotly, Dash
Data Science Intern
Munich Electrification | Munich, Germany | Apr 2024 - Jun 2024
- Implemented a Data Quality Unit to automate error detection and data validation, enhancing data integrity
- Developed a 2-step mechanism to gauge the validity and value of battery data
- Technologies: Python, Great Expectations
Working Student - Software Testing
Munich Electrification | Munich, Germany | Oct 2023 - Mar 2024
- Collaborated with cross-functional teams to optimize device control in functional testing machines for end-of-line (EOL) testing, reducing testing time by 30%
- Formulated test cases for EOL testing, ensuring reliable performance verification for final product validation
- Technologies: Python (with a focus on Object-Oriented Programming)
Working Student - Backend Simulations Team
Infineon Technologies | Munich, Germany | Jun 2022 - Sep 2023
- Documented Python scripts for automating the semiconductor geometry generation tool
- Contributed to a PoC project for process improvement in design automation
- Technologies: Python (with a focus on code documentation)
Project Engineer - Mechanical
Fauji Fertililzer Company | Karachi, Pakistan | Aug 2020 - Aug 2021
- Standardized pressure equipment thickness calculations using Excel sheets, reducing manual errors and improving reporting accuracy by 5%
- Designed and simulated structures for over 20 piping and mechanical components
- Technologies: Microsoft Excel, SolidWorks
Technical Skills
Programming Languages
- Proficient: Python, SQL
- Intermediate: JavaScript, MATLAB
Data Science & Analytics
- Machine Learning: Scikit-learn, PyTorch, Pytorch Geometric
- Data Visualization: Streamlit, Matplotlib, Seaborn, Plotly, Power BI
- Big Data: Spark
Databases & Storage
- Relational: PostgreSQL, MySQL
- NoSQL: MongoDB
- Cloud Storage: Amazon S3
Cloud Platforms & DevOps
- Cloud: AWS (EC2, S3, Lambda, SageMaker)
- Containerization: Docker, Kubernetes
- Version Control: Git, GitHub, GitLab
Projects
- Energy System Modelling App: Streamlit based interactive PyPSA learning platform for energy system modelling and energy market dynamics
- GridGEN: Synthetic distribution grid data generation using Variational Graph Autoencoder (VGAE)
- Time Series Forecasting: Electricity price prediction system using LSTM/GRU networks and ensemble methods with advanced feature engineering
- Time Series Forecasting: Wind Power Forecasting using Long Short Term Memory (LSTM)
- Energy Market Analytics: Day-Ahead Price Trends & Influencing Factors
- Energy System Sizing: Optimal configuration of residential photovoltaic (PV) systems and battery storage to maximize long-term economic benefits
- Second Life Battery Applications: Researched challenges and opportunities of second-life EV batteries for stationary energy storage
For detailed project descriptions, please visit my Projects page.
Certifications
-
Big Data Analytics Using Spark - edX (UC San Diego) [Mar 2026] ↗ -
Machine Learning Fundamentals - edX (UC San Diego) [Aug 2025] ↗ -
Pytorch for Deep Learning - Udemy [Aug 2025] ↗ -
Big Data with Apache Spark and Python - Udemy [Jul 2025] ↗ -
SQL for Advanced Data Analysis - Udemy [June 2025] ↗ -
Probability & Statistics - edX (UC San Diego) [Feb 2025] ↗ -
Probability & Statistics - Udemy [Oct 2024] ↗ -
Python for Machine Learning & Data Science - Udemy [Oct 2024] ↗ -
Python for Data Science - edX (UC San Diego) [Jul 2024] ↗ -
Probability - The Science of Uncertainty and Data edX (MIT) [Sep 2023] ↗ -
SQL Bootcamp - Udemy [May 2023] ↗ -
Microsoft Power BI - Udemy [Mar 2023] ↗ -
Python Bootcamp - Udemy [Mar 2023] ↗
Publications & Research
Exploring Variational Graph Autoencoders for Distribution Grid Data Generation | arXiv preprint | 2025
- Authors: Syed Zain Abbas, Ehimare Okoyomon
- DOI: paper ↗
Languages
- English: Fluent (C1)
- German: Intermediate (B1; B2 in progress)
- Urdu: Native
Last updated: 29.03.2026