Mohammad Reza Zaker Email & Phone Number

Ottawa, On, Ca

Ottawa, Ontario, Canada

Greater Ottawa Metropolitan Area

Developing machine learning models to predict process motor positions and rotations, resulting in a 10%reduction in process steps and a 40% decrease in time for long steps, leading to increased production and capital reduction.Utilizing quantitative analysis and statistical tests to identify correlations between process variables.Applying unsupervised techniques to cluster variables for identifying the most problematic process variables to decrease failure times by 20% which leads to save costs and time.Creating dashboards with detailed metrics to support business use cases and monitor performance ofproduction pipelines.Utilizing Tableau desktop and prep for in-depth analysis, generating dashboards with detailed metrics tosupport business use cases, and presenting findings to the management team.Collaborating effectively with cross-functional teams using Git to maintain code integrity and facilitateseamless teamwork, while also documenting processes in Agile Confluence and tracking tasks in Jira.

Mississauga, Ontario, Canada

- Collaborated with Sales and Support teams to design and develop custom data pipelines for real-time call analysis, customer sentiment analysis, and support case management.- Led the development of an automated web scraping pipeline for market analysis, employing Scrapy and Large Language Models (LLMs) for data summarization.- Designed and implemented data pipelines for battery health monitoring and signal strength estimation using machine learning algorithms.- Developed a Flask-based HR scoring system web app, conducting text analysis and generating candidatescores based on job descriptions

Ottawa, Ontario, Canada

- Developing and modifying dynamic models with over 60 differential equations to simulate anaerobic digestion systems in Java, interfaced using Python.- Reading and manipulating data using pandas for model input as well as to verify model performance.- Performing data visualization, predictive analysis, training & mentoring by using Scikit-learn, Numpy, Matplotlib packages. - Designing and deploying an intelligent operating system for biogas production processes.- Performing sensitivity analysis on 17 parameters in model by using Sensitivity Analysis Library (SALib) in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods. Also optimized several parameters and inhibitions to fit models to experimental data.

Ottawa, On, Canada

• Designed and troubleshot a plug-flow reactor and run various experiments to collect data and improved 20% reactor efficiency with 30% reduction in operating costs and 25% in capital cost by establishing a new control system• Analyzed the plant data through the Python and Power BI in order to define an appropriate empirical model to explain data in order to create the automative process• Proposed an easy-to-follow methodology to solve multi-objective optimization based on the first-principles model of a multi-catalytic bed reactor in order to train an artificial neural network that is used as a metamodel to reduce 60% of the computational load of the optimization problem

Ottawa, Canada Area

• Carried out weekly Q&A, tutorial and discussion group sessions for undergraduate courses such as Thermodynamic, Adsorption separation processes and Unit operations• Supported instructors by marking papers and proctoring during tests and exams

Master Of Engineering - Meng, Digital Transformation And Innovation

Master Of Engineering - Meng

Bachelor Of Engineering - Beng