Mohammad Ghavidel

With over 5 years in transportation engineering and 3+ years mastering big data analytics, I seamlessly merge infrastructure and innovation. As an MSc candidate in Transportation Engineering at Polytechnique Montreal and an exchange student in Computer Science at McGill, I’ve deep-dived into tech-driven transportation solutions. My professional realm involves crafting algorithms for sensor data with tools like Python, R, SQL, and Snowflake. A seasoned Research and Teaching Assistant, I’m fueled by a passion to leverage data for safer, smarter roads. Let's drive the future of transportation together. 

• Utilizing smartphone sensors to detect and analyze traffic events via supervised and semi-supervised method.
• Collaborating with DataLab to develop data-driven models, presenting progress in weekly meetings.
• Crafting a time series Convolutional Neural Network for crash event detection, (the Gramian Angular Fields technique), lead to a remarkable 12% improvement in AUC/ROC performance.
• Creating a robust data processing pipeline clean and analyse 10+ thousands response text data using LSTM, NB, LDA and CNN BiLSTM model (NLP).

Master of Transportation Engineering, Polytechnic Of Montreal (University of Montreal) 

Exchange program, Computer Science, McGill University
Bachelor of Civil Engineering, University of Mashhad