Mohammad Amiri Zarandi

WORK HISTORY

EDUCATION

ABOUT MOHAMMAD AMIRI ZARANDI

I\'m a Ph.D. holder in Computer Science with a deep passion for applied machine learning and responsible AI. Currently, I serve as a Data Scientist at PureFacts Financial Solutions and hold the position of Postdoctoral Fellow at the University of Guelph. My journey in the world of technology has been marked by a keen interest in developing privacy-preserving explainable machine learning models in different applications. My skill set includes advanced proficiency in: • Diverse Machine Learning Approaches (Supervised, Unsupervised, Semi-Supervised): Deep Learning, Time Series Analysis, Anomaly Detection, Quantitative Analysis • Structures and Unstructured datasets: Image, Text, Network Data, Financial Data • Federated Learning: FedSGD, FedDyn • Explainable AI: LIME, SHAP • Model Validation: A/B Testing • Programming languages: Python, MATLAB, Java, C# • Programming libraries: Pandas, Numpy, Scikit-Learn, TensorFlow • Large Language Models: Azure OpenAI • Cloud computing: Azure, AWS • Data Visualization: Python Matplotlib, Python Seaborn • Others: Git Throughout my academic journey, I have been honored with various scholarships and awards. My research efforts have resulted in publications in prestigious journals, covering areas such as applied machine learning, data privacy, and explainable AI. Publications: & hl=en & oi=ao I enjoy navigating through challenging technical environments, utilizing my skills and passion as a data scientist. I thrive in overcoming challenges, devising innovative solutions, and contributing to the development of exceptional models. I am enthusiastic about collaborative settings, eagerly connecting with like-minded professionals to push the boundaries of technology.