Mohammed Abdallatif - Manager, Data Science & AI – Energy & Public Sector

Manager, Data Science & AI

– Energy & Public Sector

Transforming complex data into actionable insights and intelligent, high-value solutions.

About Me

A brief overview of my professional journey and qualifications.

Executive Summary

As a Manager for Data Science & AI and PMP-certified Project Manager, I specialize in delivering high-impact AI and analytics solutions across the energy, mobility, and public sectors. With over seven years of professional experience, I bridge strategic project execution with deep technical expertise in machine learning, data engineering, and cloud-based architecture

My portfolio includes a range of real-world solutions—from deep learning models for grid stability and predictive maintenance in energy systems to business intelligence dashboards for hydrogen infrastructure and railway customer analytics. I lead cross-functional teams to translate complex data challenges into scalable, intelligent products that drive operational efficiency, compliance, and innovation.

Education and Research

  • PhD (cand.) in Data Science & Energy Systems, TU Dortmund (2020-2025)
  • Research Assistant at Information Processing Lab, TU Dortmund (2016-2018)
  • M.Sc. & B.Sc. Electrical Engineering and Information Technologies, TU Dortmund

Certificates

  • Project Management Professional (PMP)
  • Certified Product Owner (Scrum.org)
  • Azure Fundamentals (AZ-900)

Core Expertise

A selection of my key technical skills and competencies.

Generative AI & Machine Learning

Responsible AI, agentic systems, prompt engineering, fine-tuning, and classical ML models.

LangChainPyTorchLSTMScikit-Learn

Data Solutions & BI

End-to-end data visualization, ETL pipeline development, and cloud-native data integration.

Power BITableauQlik SenseAzureSQL

Energy & Power Systems

Domain expertise in power grid analysis, stability modeling, and energy market analytics.

DIgSILENTNeplanMATLABGrid Modeling

Cloud Architecture (Azure)

Architecting and managing robust cloud solutions, from data engineering with Databricks to deploying AI services.

Azure AIDatabricksAzure SQLPipelinesIAM/RBAC

Project Management

Leading projects with predictive, agile, and hybrid methods to maximize value. Certified PMP & Product Owner.

PMPScrumKanbanJiraConfluence

Programming & Tools

Proficient in Python for data science, specialized power systems software, and statistical tools for analysis.

PythonPandasGitHubGitLabMATLABR

Featured Projects

A selection of projects that showcase my skills and impact.

Predictive Risk Analytics for a DSO

Deep Learning • Energy Sector

Developed a sophisticated LSTM deep learning algorithm to forecast risks for critical assets, enabling a shift from reactive to predictive maintenance and significantly reducing asset downtime.

PythonPyTorch (LSTM)Scikit-Learn

Power Grid Stability Intelligence

Deep Learning • Grid Operations

Engineered a data-driven deep learning regression model to output a stability score for dynamic power simulations. This provides operators with a novel, efficient tool to ensure grid reliability.

Python APIDIgSILENTDeep Learning

Customer Journey Analytics Dashboard

Business Intelligence • Railway Sector

For a client in the railway sector, executed a full-scale ETL process and developed various Qlik Sense dashboards to visualize customer journey data, leading to data-driven improvements in customer satisfaction.

Qlik SenseSQLData Lakes

Hydrogen Station Market Analysis

Market Analysis • Clean Energy

Built a Power BI dashboard analyzing hydrogen loading station distribution in Germany. The insights highlighted key KPIs and uncovered potential new business cases.

Power BIData Modeling

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