Hafiz Muhammad Noman

Assisted the department in digitally transforming its image analysis approach from a private software to fully functional Python tool Used Django framework in order to ensure a user-dependent, dynamic web response AJAX requests in jQuery to ensure a smooth and efficient image analysis experience Used HTML, CSS, and JavaScript to help create a user-friendly experience for employees, in consideration of their convenience needs

Helped the colleagues to better understand the effect of variables in the prediction of the material's final properties Used machine learning models Random forest and regression tree in Python by using Scikit-learn Calculated the importance of each explanatory variable for the response variable Ensured accurate prediction of mechanical and microstructural properties in relation to various process parameters

Automatized Image analysis program for the SEM Images Automated the analysis of SEM images with the help of a Python program Used Python libraries particularly SciPy to extract all the differentiating features from the images Translated images into multi-dimensional arrays using NumPy Manipulated and visualized Images data using Pandas and Matplotib