Md Mozammel Hossain

1. Creating custom Windows OS packages for the sensor 2. Making the software more user-friendly 3. Creating library packages using Conan and CMake 4. Creating a custom Linux distro using Yocto, Poky 5. Creating new software for the Linux platform using C, C++, Qt, Conan, and CMake 6. Other supported skills: Docker, Networking protocols and Operating Systems, Git, Embedded Systems, Embedded Linux, Kernel

Design and implement a predictive maintenance system for an EV engine production facility. Develop and maintain predictive maintenance models using machine learning algorithms. Train models for predictive maintenance systems and provide support to ensure effective use. Conduct root cause analysis on equipment failures using data from predictive maintenance systems to improve equipment performance and reduce maintenance costs.

1. Create an interface between the real production plant and the digital twin of the digitization laboratory. 2. Further, develop an existing predictive maintenance system with Python. 3. Use machine learning algorithms to predict machine failures and create a dashboard with maintenance notifications.

Data analysis: Data cleaning, Data error minimizing, Data visualization in Excel using VLOOKUP, HLOOKUP, VVLOOKUP, INDEX MATCH, Advanced conditional formatting, Pivot Table and reporting, Macros and VBA, Data Simulation.

Partially designed the company website using HTML, CSS. Maintain the websites, update plugins, made customized plugins.

An Automated Blood Group Detection Machine was designed and programmed using Arduino, C++, Computer Vision, MySQL.