Summary
Nahid Ghofrani is a Senior Data Scientist based in Vancouver with over five years of experience applying machine learning, deep learning, and quantitative methods across domains from cancer diagnosis to climate forecasting. With a Master’s in Electrical Engineering, she combines strong signal-processing and computer-vision expertise (OpenCV, TensorFlow, PyTorch) with practical production skills in Python, SQL, MATLAB and cloud ML platforms (Azure, AWS, GCP). Known for building multidisciplinary teams and shipping exceptional software, she excels at time-series forecasting and deploying models that improve safety and operational performance. A natural servant leader, she pairs technical rigor with empathy and persistence under pressure, often translating complex research into actionable, business-facing solutions. An active ML researcher by inclination, she bridges academic depth and industry impact while maintaining a focus on practical, reproducible results.
5 years of coding experience
Master’s Degree, Electrical, Electronics and Communications Engineering, Master’s Degree, Electrical, Electronics and Communications Engineering at University of Calgary
Bachelor’s Degree, Electrical Engineering, Bachelor’s Degree, Electrical Engineering at Isfahan University of Technology