Azmi Hasan

I am a dedicated Data Scientist/Data Analyst with a strong background in Information Systems and hands-on experience in data analysis, machine learning, and AI. I have developed and optimized data models and pipelines, leveraging Python, SQL, and Apache Airflow tools. Skilled in using AWS, Docker, and Kubernetes, I excel in creating data analysis platforms with Streamlit and Plotly.

Known for my positive and energetic attitude, I thrive in collaborative environments and am eager to contribute to innovative data-driven solutions for your team.

Data Analytics and Visualization Job SimulationBerlin, June 2024 Accenture North America

• Completed a simulation focused on adivising a hypothetical social media client as a Data Analyst at Accenture.
• Cleaned, modeled, and analyzed seven datasets to uncover insights into content trends to inform strategic decisions.
• Prepared a Power Point deck and video presentation to communicate key insights for the client and internal stakeholders.

• Assisted in daily document assessment, providing expert support in the systematic evaluation and analysis of documents.
• Ensured accuracy, compliance, and efficiency in document management processes.

• Developed and implemented supervised machine learning algorithms, including linear regression, logistic regression, and convolutional neural networks, specifically for computer vision tasks. 
• Tech Stack: Jupyter Notebook, TensorfFlow, Numpy, and Matplotlib

• Automated data labeling using GroundingDINO as cuttingg-edge zero-shot object detection and SAM (Segment Anything by Meta)
• Enhanced the model accuracy by 20% by optimizer assessment and implemented application on an edge computing device (Jetson Nano).
• Obtained a grade of 1.3 as a bachelor's thesis
• Tech Stack: PyTorch, Streamlit, Ultralytics YOLOv8, Python, OpenCV and Jetson Nano

• Built a web app with Node Js and MongoDB to provide a test app for CI/CD practice
• Built a CI/CD Pipeline using Docker, Kubernetes, GitLab, and AWS to improve infrastructure scalability.
• Obtained a grade of 1.0 as a project assessment 
• Tech Stack: Node JS, MongoDB, Docker, Kubernetes, AWS ECR

• Developed a web-scrapping script to analyze product information on e-commerce sites. 
• Developed a data analysis platform to visualize and automate sales performance analysis.
• Tech Stack: Streamlit, Matplotlib, Plotly, Jupyter Notebook, PrestaShop, Pandas and Numpy.

• Developed a data dashboard to classify movie frames between violence and no violence with image classification with tech stacks: Dash by Plotly, PyTorch, and Python
• Obtained a grade of 1.0 as a project assessment

Master in Information System ManagementBerlin, April 2024 – until nowTechnische Universität BerlinMaster in Media InformaticBerlin, October 2023 – March 2024Hochschule für Technik und Wirtschaft BerlinBachelor in Information SystemsBerlin, April 2019 – September 2023Hochschule für Technik und Wirtschaft Berlin