I am Amin Mosallanejad
Name: Amin Mosallanejad
Profile: Utility Engineering
Email: mosallanejadamin1400@gmail.com
Phone: (+98) 917 710 9794
Skills
About me
🎓 Education I am currently pursuing my Master’s degree in Data Science at the Asia Pacific University of Technology & Innovation (APU), Malaysia. My academic journey combines theoretical foundations with practical applications across machine learning, deep learning, and data engineering. My coursework and research projects have focused on domains such as natural language processing, predictive modeling, and the application of artificial intelligence in environmental systems, particularly wastewater treatment processes. This academic experience has equipped me with a solid skill set in Python, data analysis, and research-driven development.
💼 Experience I have led and contributed to multiple data science projects that reflect a strong command of real-world problem solving. My most recent capstone project applies machine learning techniques to enhance wastewater treatment performance and identify bottlenecks using key environmental and operational data. I have also developed a genre classification and spelling correction system using natural language processing on the TMDB movie dataset. Additionally, I have explored deep learning models like LSTM, GRU, and CNN-LSTM for financial market prediction, demonstrating my ability to manage complex datasets, build robust models, and communicate insights effectively.
Resume
Experienced Chemical Engineer transitioning to Data Science with strong analytical background and hands-on experience in industrial operations
Summary
Amin Mosallanejad
Chemical Engineer with 17+ years of industrial experience, currently pursuing M.Sc. in Data Science and Business Analytics. Specialized in utility operations, wastewater treatment, and process optimization with strong analytical and problem-solving skills.
- Shiraz, Fars Province, Iran
- +98 9177109794
- amin.mosallanejad.academic@proton.me
- LinkedIn: www.linkedin.com/in/amin-mosallanejad
Education
M.Sc. in Data Science and Business Analytics - Data Engineering
2024 - 2025
Asia Pacific University of Technology & Innovation (APU)
GPA: 3.69/4.0 | Dual Degree with De Montfort University (DMU), UK. Project: Applications of Machine Learning to Enhance Wastewater Process Performance using Python Tools. Supervisor: Dr. Nirase Fathima Abubacker
M.Sc. in Chemical Engineering - Biotechnology
2013 - 2016
Islamic Azad University, Quchan Branch, Iran
GPA: 18.14/20 | Thesis: Assessment of Hydrocarbon Sludge Degrading Ability by Aerobic Biological Method. Supervisor: Dr. Susan Khosroyar
B.Sc. in Chemical Engineering - Refining
1998 - 2003
Islamic Azad University, Gachsaran Branch, Iran
GPA: 14.75/20 | Final Project: Pipeline and Chemical Industrial Equipment. Supervisor: Dr. Khalil Hesam
Skills & Certifications
Technical Skills
- Programming: Python, R, T-SQL, SPSS Modeler
- Machine Learning & AI: TensorFlow, scikit-learn, Azure ML
- Data Engineering: Apache Spark, Docker
- Statistical Tools: SPSS, SAS, Tableau
- Cloud & Others: GitHub, AWS
Language Proficiency
English: TOEFL iBT - 98/120
Professional Experience
Senior Utility Engineer
2017 - 2024
Phase 19, South Pars Gas Complex, Iranian National Gas Company, Iran
- Managed steam generation systems including 185TPH water tube boilers with Low NOx Burner technology
- Operated nitrogen generation plant with cryogenic systems for GAN and LIN production
- Supervised wastewater treatment operations including activated sludge, BioTower (Trickling filter), and Sequence Batch Reactor systems
- Oversaw water treatment processes including seawater intake, desalination (MED-TVC), and ion exchange systems
- Implemented chemical passivation protocols and performance optimization for industrial water treatment
Utility Plant Supervisor / Senior Control Room Operator
2007 - 2017
Phase 6,7&8, South Pars Gas Complex, Iranian National Gas Company, Iran
- Started with commissioning team and operated complex water and wastewater treatment systems
- Optimized operational efficiency of desalination units (MED-TVC) and Ion Exchange polish water systems
- Developed modification requests and improvement proposals, reducing downtime and enhancing plant performance
- Ensured compliance with Health, Environment, and Safety (HES) standards and industry regulations
- Monitored laboratory results for quality control of treated water and wastewater outputs
- Led equipment changeover policies and maintenance protocols
Professional Development
Data Engineering Certificate
2023
Sharif University of Technology, Academic Center for Education, Culture, and Research
64-hour intensive program covering modern data engineering practices and tools
Python Programming in Bioinformatics & Bioinformatics
Jan - May 2023
College of Engineering, University of Tehran, Iran
Completed 22 hours of Python programming and 12 hours of bioinformatics coursework
Publications & Presentations
Research Publications
2016 - 2017
- Aerobic Biodegradation Study: Investigation of gasoline and toluene biodegradation using SuperPro simulation - 3rd International Conference on Research in Engineering Science and Technology, Batumi, Georgia
- Industrial Effluent Treatment: Assessment of combined activated sludge-trickling filter method - 3rd International Conference on Science and Engineering, Istanbul, Turkey
Documentation
Comprehensive documentation and insights from my expertise in Data Science, Engineering, and Industrial Operations
Data Science
Machine Learning algorithms, statistical analysis, and predictive modeling techniques. Documentation includes Python implementations, model evaluation, and performance optimization strategies for industrial applications.
Data Engineering
ETL pipelines, big data processing with Apache Spark, and cloud infrastructure design. Comprehensive guides on data warehousing, preprocessing techniques, and real-time data streaming solutions.
Water Treatment
Seawater desalination (MED-TVC), ion exchange systems, and drinking water purification processes. Technical documentation covering operational procedures, chemical passivation, and quality control protocols.
Wastewater Treatment
Activated sludge systems, BioTower (Trickling filter), and Sequence Batch Reactor operations. Detailed documentation on biological treatment processes, oily system treatment, and neutralization procedures.
Process Optimization
Industrial process improvement methodologies, equipment modification protocols, and operational efficiency enhancement. Documentation includes performance monitoring techniques and troubleshooting guides.
Technical Research
Published research on hydrocarbon sludge biodegradation, aerobic biological treatment methods, and industrial effluent management. Includes simulation studies using SuperPro and Python tools.
My GitHub
Comprehensive My GitHub and insights from my expertise in Data Science, Engineering, and Industrial Operations
Amin Mosallanejad
My GitHub Repositories
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Years in Industrial Engineering
Data Science Projects
Water and Wastewater Treatment Plants
Research Publications
Contact
Ready to collaborate on data science projects or discuss opportunities in industrial engineering and analytics
Address
Shiraz, Fars Province, Iran
Call Me
+98 9177109794
Email Me
amin.mosallanejad.academic@proton.me