M.Rasoul Zahmatkesh
Deep Learning & Chemical Engineer
About Me
I have a background in Chemical Engineering and have also worked seriously in the fields of Deep Learning and Machine Learning. I am interested in data analysis, modelling, problem-solving, and transforming complex systems into practical solutions. My focus is on combining engineering thinking with AI models and concepts to optimise processes and enable smarter decision-making.
Education
2022 - 2026
Certificates
• Ansys Fluent (CFD - Computational Fluid Dynamic), 2022• Advanced Search and ISI Paper Writing – Iranian Academy of Chemistry and Electrochemistry, 2022
• Aspen Plus (Introductory and Advanced) – Iranian Society of Chemical Engineering, 2023
• Principles of DFT Calculation – Iranian Academy of Chemistry and Electrochemistry, 2023
• Machine Learning – Petroleum University of Technology, 2023
Maktabkhooneh.org
• Advance Python Programming, Mr. Jadi Mirmirani, 2023• Deep Learning, Mr. Alireza Akhavan, class vision, 2026
• Project-Based CSS, HTML and JavaScript, Mr. Abolfazl Vafadoost, 2026
Projects
2023 - 2026
Aspen Plus
• SRU (Sulfur Recovery Unit): Designed and evaluated sulfur recovery unit for process efficiency improvement.• Green Hydrogen: Conducted feasibility study and conceptual development of sustainable hydrogen production.
• PEM: Designed and assessed proton exchange membrane fuel cells for clean energy generation.
DeepLearning(Trading Bot)
• Sentiment Analysis of Financial News and Tweets – Developed a model to predict market sentiment.• Q-Learning Based Trading Algorithm – Optimized buy/hold/sell decisions using historical price data.
• Sentiment Analisys of Tweetes for Financial Markets – Built a sentiment analysis system using twitter data to analyze the correlation between market sentiment and stock price fluctuations.