Skill-Profil eines fest angestellten Mitarbeiters des Dienstleisters
Einsatzorte
Einsatzorte
München (+500km)
möglich
Projekte
Projekte
10 Monate
2024-09 - 2025-06
EU Taxonomy
Demand Manager
Demand Manager
Led
demand management activities for three major Business Units, ensuring alignment
of project deliverables with business needs
Change
Request Management: Handled and coordinated bulk data change requests,
collaborating closely with both internal stakeholders and external service
providers to ensure timely and accurate execution
Stakeholder
Communication: Acted as a liaison between project teams and business units to
communicate tool changes, evolving requirements, and ensure stakeholder
alignment
Process
and Data Alignment between the transformation project and the business units to
ensure consistency and integrity across systems
Transformation
Project Support (UAT & Defect Management): Prepared for and supported User
Acceptance Testing (UAT), actively managed defect tracking and resolution
Provided
hands-on assistance to internal clients during go-live and hypercare phases,
ensuring a smooth transition and resolving post-deployment issues efficiently
Siemens AG
München
6 Monate
2023-10 - 2024-03
Machine Learning
Internship
Internship
Contributed a dynamic Agile AI team focused on optimizing the automated machine learning and computer vision toolset ??ZEISS arivis Cloud - AI image analysis??, fostering collaboration and innovation to meet project objectives efficiently.
Managed development and deployment of ML models ensuring seamless integration with project timelines and requirements.
Monitored ML pipelines & AI workflows.
Analyzed scientific images and processed multi-channel data using denoising and filtering techniques with 'ZEISS arivis Pro'
Implemented NVIDIA Triton Inference Server, deploying SAM (Segment Anything Model) for enhanced processing speed.
Gained knowledge in project management methodologies, automated ML pipelines and training computer vision algorithm
Provided expert consultancy, achieving an average 30% improvement in user access control and security through effective IAM solutions.
Demonstrated strong leadership by leading successful IAM projects and collaborating with clients such as Turkish Airlines, SunExpress Airlines, Ford, SBM, Aygaz Petroleum, Opet Petroleum, and Trendyol E-commerce from presales to postsales, ensuring alignment with organizational needs and technical challenges.
Developed Magarsus IGA, an in-house web-based IAM tool, to offer customers enhanced access control solutions. Utilized Java, SQL, and Python for development, showcasing innovation and initiative.
Conducted research on NLP techniques to streamline permission granting in IAM for Magarsus IGA, displaying a proactive approach to problem-solving. Incorporated advanced AI and NLP techniques using PyTorch, Python, and C++.
Demonstrated effective communication and stakeholder management skills by engaging with prominent organizations, fostering productive client relationships, and aligning product strategy with their evolving needs
PyTorchPythonC++SQLJavaIAM
Magarsus Consultancy
Istanbul
11 Monate
2020-09 - 2021-07
Signature Analyzer - Deep Learning Graduation Research Project
Android
Developed a Convolutional Neural Network (CNN) model to perform personality analysis and identity recognition from wet signature.
Trained the model using the GPDS Synthetic Online Offline Signature database, which included data from 10,000 synthetic individuals, 24 genuine signatures and 36 forged signatures for each owner.
Achieved 94% identity recognition and 62% accuracy for personality classification.
Created a reusable framework for training models with different datasets.
Deployed the model as an Android app, trained on the cloud.
Utilized Python, PyTorch, TensorFlow, Keras, OpenCV, NumPy, Scikit-Learn, Flutter, Jupyter Notebook, various computer vision tools and AWS SegaMaker.
Worked collaboratively in an agile environment to develop a Python console application for content-based image classification. The project aimed to classify images into predefined categories using a large image database.
Extracted image features by dividing them into grids. Utilized the K-Nearest Neighbors (K-NN) classifier model to label the images based on their features.
Completed the project using Python, Scikit-Learn machine learning library, and KNN classification.
Collaborated with the development team in an agile environment, utilizing Scrum methodologies to deliver software application
JavaPython
Turkcell
3 Monate
2019-07 - 2019-09
Software Engineering for Identity management projects
InternshipServletJSPSQL...
Internship
Developed a secure login web page using Java, Servlet, JSP, MySQL, Tomcat, and SQL. Enabled efficient account access for users.
Created a Java program to detect overlapping roles in a database. Helped streamline role management by identifying conflicting roles.
Implemented a Java program to convert CSV files to XML format. Enabled seamless integration with other systems and applications.
Apache TomcatMySQL
ServletJSPSQLJavaXML
SunExpress Airlines
Antalya
Einsatzorte
Einsatzorte
München (+500km)
möglich
Projekte
Projekte
10 Monate
2024-09 - 2025-06
EU Taxonomy
Demand Manager
Demand Manager
Led
demand management activities for three major Business Units, ensuring alignment
of project deliverables with business needs
Change
Request Management: Handled and coordinated bulk data change requests,
collaborating closely with both internal stakeholders and external service
providers to ensure timely and accurate execution
Stakeholder
Communication: Acted as a liaison between project teams and business units to
communicate tool changes, evolving requirements, and ensure stakeholder
alignment
Process
and Data Alignment between the transformation project and the business units to
ensure consistency and integrity across systems
Transformation
Project Support (UAT & Defect Management): Prepared for and supported User
Acceptance Testing (UAT), actively managed defect tracking and resolution
Provided
hands-on assistance to internal clients during go-live and hypercare phases,
ensuring a smooth transition and resolving post-deployment issues efficiently
Siemens AG
München
6 Monate
2023-10 - 2024-03
Machine Learning
Internship
Internship
Contributed a dynamic Agile AI team focused on optimizing the automated machine learning and computer vision toolset ??ZEISS arivis Cloud - AI image analysis??, fostering collaboration and innovation to meet project objectives efficiently.
Managed development and deployment of ML models ensuring seamless integration with project timelines and requirements.
Monitored ML pipelines & AI workflows.
Analyzed scientific images and processed multi-channel data using denoising and filtering techniques with 'ZEISS arivis Pro'
Implemented NVIDIA Triton Inference Server, deploying SAM (Segment Anything Model) for enhanced processing speed.
Gained knowledge in project management methodologies, automated ML pipelines and training computer vision algorithm
Provided expert consultancy, achieving an average 30% improvement in user access control and security through effective IAM solutions.
Demonstrated strong leadership by leading successful IAM projects and collaborating with clients such as Turkish Airlines, SunExpress Airlines, Ford, SBM, Aygaz Petroleum, Opet Petroleum, and Trendyol E-commerce from presales to postsales, ensuring alignment with organizational needs and technical challenges.
Developed Magarsus IGA, an in-house web-based IAM tool, to offer customers enhanced access control solutions. Utilized Java, SQL, and Python for development, showcasing innovation and initiative.
Conducted research on NLP techniques to streamline permission granting in IAM for Magarsus IGA, displaying a proactive approach to problem-solving. Incorporated advanced AI and NLP techniques using PyTorch, Python, and C++.
Demonstrated effective communication and stakeholder management skills by engaging with prominent organizations, fostering productive client relationships, and aligning product strategy with their evolving needs
PyTorchPythonC++SQLJavaIAM
Magarsus Consultancy
Istanbul
11 Monate
2020-09 - 2021-07
Signature Analyzer - Deep Learning Graduation Research Project
Android
Developed a Convolutional Neural Network (CNN) model to perform personality analysis and identity recognition from wet signature.
Trained the model using the GPDS Synthetic Online Offline Signature database, which included data from 10,000 synthetic individuals, 24 genuine signatures and 36 forged signatures for each owner.
Achieved 94% identity recognition and 62% accuracy for personality classification.
Created a reusable framework for training models with different datasets.
Deployed the model as an Android app, trained on the cloud.
Utilized Python, PyTorch, TensorFlow, Keras, OpenCV, NumPy, Scikit-Learn, Flutter, Jupyter Notebook, various computer vision tools and AWS SegaMaker.
Worked collaboratively in an agile environment to develop a Python console application for content-based image classification. The project aimed to classify images into predefined categories using a large image database.
Extracted image features by dividing them into grids. Utilized the K-Nearest Neighbors (K-NN) classifier model to label the images based on their features.
Completed the project using Python, Scikit-Learn machine learning library, and KNN classification.
Collaborated with the development team in an agile environment, utilizing Scrum methodologies to deliver software application
JavaPython
Turkcell
3 Monate
2019-07 - 2019-09
Software Engineering for Identity management projects
InternshipServletJSPSQL...
Internship
Developed a secure login web page using Java, Servlet, JSP, MySQL, Tomcat, and SQL. Enabled efficient account access for users.
Created a Java program to detect overlapping roles in a database. Helped streamline role management by identifying conflicting roles.
Implemented a Java program to convert CSV files to XML format. Enabled seamless integration with other systems and applications.
Apache TomcatMySQL
ServletJSPSQLJavaXML
SunExpress Airlines
Antalya
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