Mojtaba Amini Email & Phone Number

Verona, Veneto, Italy

We have several projects aimed at enhancing our company's production performance. Currently, I am collaborating closely with a team to develop a production management tool that leverages AI for improved predictions in areas such as warehousing, production, commercial activities, and overall company management. The main projects I am involved in include:Planner System: Utilizing reinforcement learning, this system will analyze employee availability, presence data, and the company's calendar to plan tasks. It will assign tasks to employees based on their skills, ensuring deadlines for incoming orders are met.Chatbot: We are creating a custom chatbot for the company database that can perform complex analyses and assist employees in updating specific parts of orders and warehouse management, tailored to their roles.Management: This project focuses on predicting the sequence of tasks for each job and estimating the time required to complete each task.Additionally, we are working on several smaller projects involving AI and data transfer and preparation tools, which will be used internally within the company.

Verona, Veneto, Italy

- Integral role in integrating AI technology into industrial settings, achieving an impressive 80% accuracy in sequence prediction using LSTM models for sequential data.- Successfully predicted manufacturing operation times with approximately 85% accuracy for the entire sequence, optimizing task sequences for enhanced operational efficiency.- Developed a web application and an API that seamlessly integrates AI insights into the company's web applications, simplifying the implementation of AI-driven solutions.

Cologne Bonn Region

- Developed a Python web application for streamlined Jira log access, enhancing team planning and satisfaction- Conducted data mining for check24.de, extracting and analyzing extensive energy usage data for strategic insights.- Improved accessibility for non-technical colleagues, fostering collaboration and aiding in decision-making.

Aachen, North Rhine-Westphalia, Germany

- Developed packages for handling extensive datasets from battery measurements, creating a specialized package for reading BMS data.- Produced insightful reports and results for the battery testing team, enhancing metrics for second-hand battery modules.- Implemented a project to generate battery passports in compliance with EU law requirements. The battery passports are periodically updated based on SQL databases, reflecting recent battery tests.

Padua, Veneto, Italy

Assisted data science students with their coursework, providing guidance on essentialprogramming languages such as SQL, R, MongoDB, and Python.Led practical projects focused on data analysis, machine learning, and statistical modeling.

Tehran, Iran

- Implemented LEM (Linear Eddy Model) for turbulent Premixed combustion by finite volume meththod (FVM) to generate an Innovating PDF for Large Eddy Simulation (LES).- Developed a new method for combustion modeling in an open-source library (CANTERA) using mostly by C++, Python, Fortran.

Determining specifc detail of compressor washing nozzle and drawing a 2Dsketch of the nozzle.

Master Of Science - Ms, Data Science, 26/30

Master Of Science - Ms, Propulsion, 17.4/20

I worked on turbulence characteristics, and my thesis is about modeling LEM as a sub-model in RANS or LES.

Bachelor Of Science - Bs, Aerospace, Aeronautical And Astronautical Engineering, 16/20

High School Diploma, Math And Physics, 19.3/20