Ali Vaezi
Researcher @Malto
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WORK HISTORY
Researcher @Malto
Contributing as a member of the university’s Machine Learning Team, focusing on strengthening deep learning knowledge and practical skills. Familiar with machine learning and Deep Learning methods and actively preparing for real-world applications. Participating in upcoming machine learning competitions and collaborative research projects.
EDUCATION
Allameh Tabataba’i HighSchool
High School Diploma, Physics and Mathematics Discipline
Islamic Azad University, Science And Research Branch
Bachelor's degree, Industrial Engineering
Politecnico di Torino
Master's degree, Digital Skills for Sustainable Societal Transitions
ABOUT ALI VAEZI
Operations Research and Data Science professional with 5 years of industry experience in supply chain analytics. Currently completing my MSc in Digital Skills for Sustainable Societal Transitions at Politecnico di Torino, with coursework in AI/ML, optimization, simulation, and IoT.My background combines Industrial Engineering with hands-on data analysis in the automotive supply chain industry. At Parva Co, I worked on data analysis, dashboard development, and reporting to support procurement and logistics operations across multiple departments.I have co-authored a peer-reviewed publication in the Journal of Cleaner Production (46 citations), developing a bi-objective optimization model for sustainable supplier selection. I also have a paper under review at Robotics and Automation Letters on reinforcement learning for robust locomotion, along with several working papers on SSRN covering topics from urban mobility to AI regulation.My technical toolkit includes Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow), R, SQL, MATLAB, and optimization solvers (GAMS, Gurobi, CPLEX). I hold certifications in Machine Learning (Stanford), Data Science (IBM), Data Analytics (Google), and CS50x (Harvard).I am actively seeking opportunities in Data Science, Operations Research, and Supply Chain Optimization where I can apply machine learning and quantitative methods to solve real-world problems in industry.
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