Ph.D. in Industrial Engineering (on-going)
CGPA: 4.00/4.00
January 2021 - Present
Master of Science in Industrial and Production Engineering
CGPA: 3.92/4.00
April 2017 - December 2020
Bachelor of Science in Industrial and Production Engineering
CGPA: 3.93/4.00
May 2012 - February 2017
o This five courses' specialization covered machine learning, data visualization, network analysis, etc. using various Python libraries (e.g. sklearn,NumPy, Pandas, and Matplotlib).
o This course has been designed by two professional Data Scientists, covering complex theories, regression, classification, association, clustering, dimensionality reduction, reinforcement learning, NLP, Deep Learning and model selection & boosting using Python and R.
o This course introduces tools and algorithms that can be used to create machine learning models that learn from data, and to scale those models up to big data problems.
o This course provides an introduction to one of the most common frameworks, Hadoop, and covered core concepts behind big data problems, applications, and system
o This course aims to teach everyone the basics of programming computers using Python.