Aminoor Laskar

Aminoor Laskar's work experience includes working as a Value Engineer at Flutura Decision Sciences & Analytics since September 2021. Prior to that, they worked at GE Aviation, starting in July 2011 as a Mechanical Design Engineer and later transitioning to the role of Analytics Engineer from April 2018 to August 2021.

Aminoor Laskar received their Bachelor of Engineering (B.E.) in Civil Engineering from Assam Engineering College, where they studied from 2004 to 2009. Following this, they pursued a Master of Technology (M.Tech.) degree in Structural Engineering at the Indian Institute of Technology, Guwahati from 2009 to 2011.

In addition to their formal education, Aminoor Laskar has obtained several certifications that enhance their skills and expertise. Aminoor completed the Practical Data Science Specialization from Coursera in October 2021. In October 2020, they obtained the Generative Adversarial Networks (GANs) Specialization by deeplearning.ai. Aminoor also completed the Natural Language Processing Specialization, Advanced Machine Learning Specialization, AI for Medicine Specialization, and the TensorFlow Developer Specialization, all provided by deeplearning.ai through Coursera in 2020 and 2019. Furthermore, they acquired certifications in AWS Essential Training for Developers from LinkedIn, Minitab Quality Trainer from Minitab, Tableau Data Scientist from Tableau Software, and Bayesian Statistics: Techniques and Models as well as Bayesian Statistics: From Concept to Data Analysis, all obtained from Coursera.

Additionally, Aminoor Laskar completed various certifications in 2018, including GE Analytics Engineer Certification from GE, Deep Learning Specialization by deeplearning.ai, Introduction to Descriptive & Inferential Statistics from Udacity, Introduction to Git for Data Science from DataCamp, Machine Learning from Coursera, Data Scientist with Python from DataCamp, and Machine Learning with Python from DataCamp.

These certifications demonstrate Aminoor Laskar's commitment to continuous learning and their dedication to expanding their knowledge in various areas related to data science, machine learning, and engineering.