Data Science Research Assistant

Sarina Fatahizadeh Pittsburgh, PA Mobile: 618-***-****

Email: *****************@*****.*** LinkedIn: linkedin.com/in/sarinafatahizadeh GitHub: github.com/sfatahizadeh TECHNICAL SKILLS

• Programming: Python, SQL, R, BigQuery, C/C++, C#

• Tools: Git, GCP, Cloud Lab, MariaDB, NumPy, SciPy, Pandas, TensorFlow, PyTorch, Matplotlib, Scikit-learn, Keras, OpenCV, Linux, PowerBI, Trello, Jira, SAS

• Data Science: Supervised and Unsupervised Learning, Neural Networks, Convolutional Neural Networks (CNN), Network-in-Network, 3D U-Net Architecture, ResNet18, K-Means Clustering, Medical Image Segmentation, Data Preprocessing PROJECTS

Genomic Data Analysis

• Implemented and trained CNN and NIN models on Cloud Lab for genomic region classification from "Encyclopedia of DNA Elements" and optimizing computation for unstructured dataset of 60,000+ RNA-seq using cloud-based resources to identify accessible and non-accessible regions, resulting in 87% of accuracy. Active Contour-Based Object Tracking

• Developed an active contour model for tracking moving objects in video by implementing energy-based segmentation with elasticity and rigidity forces to refine contour evolution. Designed an intensity-based external force computation method to enhance object tracking accuracy and utilized matrix transformations and numerical methods for internal force calculations to smooth contour movement.

EXPERIENCE

Graduate Research Assistant (Aug 2023 – May 2025)

Sothern Illinois University Edwardsville Edwardsville, Illinois

• Built a full-stack deep learning pipeline using Python and TensorFlow/Keras to segment cardiac structures (ventricles, myocardium, atria, vessels) in 3D MRI volumes

• Applied a 3D U-Net architecture for multi-class segmentation, optimizing model training with real clinical data and validating using Dice Similarity Coefficient (DSC)

• Automated preprocessing, prediction, and post-processing of volumetric MRI data, including NIfTI/NRRD format handling and integration with clinical metadata in Excel

Graduate Teaching Assistant (Aug 2023 – May 2025)

Sothern Illinois University Edwardsville Edwardsville, Illinois

• Effectively explained complex concepts and assisted students with challenging coursework

• Partnered with professors and peers to optimize learning environments and tailored teaching methods to accommodate diverse learning needs

Data Analyst (Feb 2018 – Jun 2021)

Sanjabi Dayar Corn Drying Company Kermanshah, Iran

• Conducted statistical evaluations and developed monitoring algorithms that improved process consistency by 15% and reduced product defects by 10% through targeted quality control enhancements Graduate Research Assistant (Sep 2015 – Jan 2018)

Razi University of Kermanshah Kermanshah, Iran

• Applied advanced data analysis and machine learning techniques to develop predictive models that optimized chemical processes and extracted actionable insights from experimental nanochemistry datasets Lab Assistant Internship (Jun – Dec 2014)

Rural Water and Sewage Company Kermanshah, Iran

• Developed data workflows and applied statistical analysis to detect anomalies, streamline reporting, and support timely interventions in water quality monitoring for regulatory compliance EDUCATION

Master of science in Computer Science (Aug 2023 - May 2025) Southern Illinois University Edwardsville

Master of science in Nanoscience and Nanotechnology- Nano chemistry (Sep 2015 – Jan 2018) Razi University of Kermanshah

Bachelor of Science in Applied Chemistry (Sep 2010 – Jul 2014) Razi University of Kermanshah

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