Summary
Sahar Voghoei is a data science manager and PhD-trained computer scientist with 11+ years of experience building ML/DL systems, leading cross-functional teams, and turning large, messy datasets (>10 TB, 33M+ rows) into operational impact. She has led multimillion-dollar projects for government and higher-education stakeholders—improving scheduling efficiency by 80%, cutting waitlists 73%, and boosting student retention 13% for a 1.3M-student system—while also shipping production software spanning cloud, distributed processing, and embedded hardware. Her background spans academia and industry, including a visiting professorship at Emory and published research in graph pattern matching, game theory, and genotype analysis where she applied Hadoop/Spark pipelines to bioscience data. Equally comfortable managing teams and diving into code, she has delivered end-to-end products from personalized student-feedback forecasting (r=0.98) to automated hardware-software systems for commercial and healthcare use. Notably, she blends theoretical strengths in reinforcement learning and game theory with pragmatic experience optimizing real-world operational workflows and large-scale educational interventions.
11 years of coding experience
14 years of employment as a software developer
University of Georgia
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Islamic Azad University
Master's degree Computer/Information Technology Administration and Management, Master's degree Computer/Information Technology Administration and Management at Savitribai Phule Pune University
English, Persian