Razieh Shahsavar

• Assisted in a master’s course, implementing concepts with Python, further strengthening my Python skills.
• Gained experience in writing and optimizing Python code for various medical image processing tasks, contributing to both instructional methods and real-world application.
• Skills: Python, Computer Vision, Deep learning, Machine Learning, FSL, Jupyter Notebooks, PyCharm, VSCode, Flask
• https://github.com/RaziehSh1987/MedicalImageProcessing_final_prj2022/blob/main/MI_Final_code.ipynb

• Developed a research project titled "Quantifying the Accuracy of Deep Learning Algorithms for
3D Human Skeleton Prediction," leveraging Detectron 2 and Blazepose models with Python.
• Utilized Unity Game Engine to generate synthetic datasets, incorporating diverse camera angles
and animations.
• Designed a custom loss function for precise evaluation of predicted skeletal structures

• Skills: Deep Learning, Python Programming, Research & Development, Unity Game Engine, 3D Modeling & Simulation, Cinematography Techniques, Digital Animation, Mathematical Modeling, Model Evaluation, Optimization, Loss Function Design, Dataset Generation, Detectron 2, Blazepose Models, Analytical Skills, Scikit‑Learn, Tensorflow, Pandas, Keras, PyTorch, NumPy, Matplotlib,  NLTK, SciPy, Seaborn, Plotly Express, Deep Neural Networks(DNN), Convolutional Neural Networks(CNN), Natural Language Processing(NLP), GCP
• https://github.com/RaziehSh1987/3D-landmarks-Pose_estimation

Tasked to review, replicate, improve, and develop an automation system using Power Automate to correspond to the need of the Office of Research & Graduate Studies.

• has experience in developing and broadcasting live video streams to RTSP and SRT servers using Python and C++ on Unreal Engine 5.1.
• Played a key role in camera configurations and integrations by python on Unreal Engine 5.1.
• Developed proficiency in working with a team and delivering high-quality software solutions under tight deadlines.
•Skills: Python, c++, Unreal Engine 5.1, Agile, Jira, Scrum, Linux, Git, Docker (containerization) .

• Developed Python apps for enhanced system performance, collaborated on data-driven solutions, and optimized data infrastructure.
• Created an employee performance evaluation program using Python, machine learning, Excel, and SQL, fostering growth opportunities.
• Employed Python libraries (Matplotlib, Seaborn) for data visualization to support informed decision-making.
• Kept updated with Python and data science trends through continuous learning at seminars and workshops.
• Skills: Python, Excel, SQL, Matplotlib, Seaborn, NumPy, MachinLearning, Mathematical, Statistical, AWS, Java.

• Collaborated on ML model development using Python.
• Prepared and cleaned large datasets for analysis.
• Improved the web platform with a recommendation system, boosting user engagement.
• Communicated insights from data analysis, driving actionable decisions.
• Applied statistical analysis techniques, including regression and hypothesis testing.
• Worked with TensorFlow, Keras, and Scikit-learn for model development.
• Skills: Python, Excel,SQL, Matplotlib, Seaborn, NumPy, MachinLearning, Mathematical, Statistical, TensorFlow, Keras, Scikit-learn