Dr. Farrokh Manzouri

Dr. Farrokh Manzouri

Biography

I help organisations translate business needs into practical, data-driven solutions. As an experienced data scientist and Senior Consultant, I work across business analysis, AI—including generative AI and machine learning—analytics, and digital transformation.

In recent years, I have applied data science, analytics, and AI in consulting environments, working with organisations across different industries to turn complex requirements into practical solutions.

My academic background includes bachelor’s and master’s degrees in medical engineering, with a specialisation in biosignal analysis. During my Ph.D., I developed further expertise in machine learning, particularly its applications in brain-machine interfaces.

Interests
  • Artificial Intelligence & Machine Learning
  • Biomedical Signal Analysis
  • Business Intelligence & Analytics
  • Brain-Machine Interfaces
Education
  • PhD in Biomedical Engineering, 2021

    The University of Freiburg

  • M.Sc. in Medical Systems Engineering, 2015

    Otto von Guericke University of Magdeburg

  • B.Sc. in Biomedical Engineering, 2012

    University of Isfahan

Expertise

Business Analysis & Solution Design
Generative AI & Machine Learning
Data Science & Analytics
Digital Transformation
Cloud & Data Platforms
Digital Signal Processing

Experience

 
 
 
 
 
Senacor Technologies AG
Senior Consultant
Dec 2025 – Present Munich, Germany

Responsibilities include:

  • Business and Process Analysis:

    Analysing business requirements and processes to identify needs and opportunities for improvement.

  • Strategic Planning and Solution Design:

    Translating findings into strategic plans and solution designs for AI and digital initiatives.

  • KPIs and Performance Evaluation:

    Defining KPIs and using quantitative analysis to assess performance.

 
 
 
 
 
AKKODIS
Senior Data Scientist
Oct 2023 – Oct 2025 Munich, Germany

Responsibilities included:

  • Advanced Data Analysis:

    Analysing complex data and developing predictive models and algorithms to address business problems.

  • Client Advisory and Data Solutions:

    Acting as a primary contact for clients, clarifying their requirements, recommending tailored data solutions, and communicating findings clearly.

  • Research and Innovation:

    Exploring developments in data science and refining analytical methods.

  • Business Development:

    Contributing data science insights to proposals and presentations for prospective clients.

 
 
 
 
 
Epilepsy Center, University Medical Center Freiburg
R&D Engineer
Jun 2015 – Sep 2023 Freiburg, Germany

Responsibilities included:

  • Implantable Device:

    Contributing to the design and development of an implantable device for closed-loop treatment of epilepsy.

  • Seizure Detection Algorithms:

    Designing and developing machine learning algorithms to detect seizures automatically in long-term EEG recordings from a limited number of channels.

 
 
 
 
 
IEEG and Brain Imaging Group, University of Freiburg
Research Data Scientist
Jul 2014 – Jun 2015 Freiburg, Germany

Responsibilities included:

  • Researching and developing analytical methods for detecting and removing heart rhythm–related artifacts from intracranial EEG recordings.
 
 
 
 
 
Leibniz Institute for Neurobiology
Scientific Programmer (Research Assistant)
Dec 2012 – Jun 2014 Magdeburg, Germany

Responsibilities included:

  • Developing and implementing EEG-based brain-computer interfaces for spelling to facilitate communication and rehabilitation for individuals with motor impairments.
 
 
 
 
 
Institute for Biometry and Informatics
Scientific Programmer (Research Assistant)
Aug 2012 – Nov 2013 Magdeburg, Germany

Responsibilities included:

  • Implementing a simultaneous EEG-fMRI recording system and artifact removal techniques to improve recording quality.
 
 
 
 
 
Kavosh Pasand Novin (KAPS)
Sales and Marketing of Neurosurgical Devices
Sep 2007 – Sep 2009 Tehran, Iran

Responsibilities included:

  • Marketing and selling neurosurgical devices and providing medical device consulting.

Accomplish­ments

Introduces the fundamental principles of artificial intelligence and machine learning, focusing on practical understanding and real-world applications. Covers the AI/ML project lifecycle, data handling, model training, and evaluation. Includes ethical considerations such as bias, privacy, and responsible AI use.
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Covers foundational cloud concepts, including core AWS services, security and compliance, billing and pricing models, and support resources, providing a comprehensive introduction to cloud computing and the AWS ecosystem.
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Covers core data concepts, including relational and non-relational data, data storage, analytics methodologies, and visualization techniques, while leveraging tools such as Azure SQL Database, Azure Synapse Analytics, Azure Data Lake, and Power BI.
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Includes foundational AI concepts, focusing on areas like machine learning, natural language processing, computer vision, and generative AI, while utilizing tools such as Azure Machine Learning, Cognitive Services, and Azure Bot Services.
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Includes foundational knowledge of cloud services and how they are provided with Microsoft Azure. It covers key concepts, core Azure services, security, privacy, and compliance.
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Tools: Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.
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Storage services, Cloud economics, levels of managed infrastructure, and Azure services & APIs
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1- Initiating projects: defining SMART project goals; understanding project constraints (scope, resources, schedule); analyzing stakeholders; identifying critical success factors and risks
2- Planning projects: project planning in activities, milestones, and deliverables; project organization and roles in projects; tools for project planning: using work breakdown structures, GANTT charts, and common project management software; risk management in project planning; planning communicating in projects
3- Implementing projects: successful project kick-offs; agile project management using SCRUM
4- Concluding and evaluating projects

International Standards: IPMA Competence Baseline, PM-BOK Guide, PRINCE2, ISO 21500

  • Project management methodology
  • Environment and risk analysis, project structure plan, work packages, time and workflow plans
  • Phases in international projects
  • Importance of intercultural competence
  • Cultural dimensions according to Hofstede
  • International risk management
  • International environment management
  • Project leadership and management
  • Conflict management in international projects
  • Practical exercises
University of Freiburg
Successful Leadership Workshop
Roles and dynamics in teams - Communication - Body language - Leadership styles - Tasks and duties in a leading position - Build a relationship between leader and persons being lead - Reflection of the own leadership style - Motivation of employees - Delegation of tasks - Practical exercises

Selected Publications

Contact

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