Biography
As a biomedical engineer and dedicated data scientist, I am deeply passionate about leveraging data science to develop creative solutions. Throughout my academic journey, which includes both bachelor’s and master’s degrees, I developed a solid foundation in medical engineering, with a specialization in biosignal analysis. During my Ph.D., I further honed my expertise in machine learning, focusing particularly on its applications in brain-machine interfaces.
Currently, I work as a Senior Data Scientist, where I apply advanced analytics, machine learning techniques, and critical thinking to deliver impactful solutions across various industries. I am always eager to explore new opportunities that allow me to tackle challenging problems within my field, particularly those that can have a meaningful and positive impact.
- Artificial Intelligence and Machine Learning
- Biosignal Processing
- Business Intelligence and Data-Driven Decision Making
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
Skills
Experience
Responsibilities include:
Advanced Data Analysis:
Perform complex data analysis and predictive modeling to extract actionable insights.
Develop and refine algorithms and models to solve business problems.
Client Interaction and Consultation:
Act as a primary point of contact for clients on data science-related issues.
Understand client needs and provide tailored data solutions and recommendations.
Present findings and insights to clients in a clear and actionable manner.
Research and Innovation:
Stay updated with the latest developments in data science and technology.
Innovate new methodologies and approaches to enhance data analysis and solutions.
Business Development Support:
Assist in the preparation of proposals and presentations for potential clients.
Provide data-driven insights to support business development initiatives.
Responsibilities include:
- Development of an implantable device for closed-loop treatment of epilepsy patients
- Design and development of seizure detection algorithms using machine learning methods for automatic evaluation of long-term EEG recordings with a low number of channels
Accomplishments
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.
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
