Awards & Achievements

Khan Bahadur Ahsanullah Padak (President Gold Medal), 2023

Treasurer, AUST EEE Society, 2024

Instructor,workshop on "Programming with Python: Hands-on Introduction for Beginners"; AUST IEEE SPS and IEEE ComSoc Joint Student Branch Chapter, 2020

Champion in Inter University Programming Contest on Matlab; AUST IEEE Student Branch, 2016

Runner up in Matlab Storming; ENGENIUS, 2017

• Treasurer, AUST Programming and Informatics Club; 2022

• Instructor, workshop on "Building Standalone Applications Using MATLAB"; 2021

• Mentor, IEEE SPS and IEEE ComSoc Joint SBC; 2021

• Dean’s List Award for Academic Excellence; 2018

• "Perfectly Perfect" award for 100% Attendance from class 1 to class 10; 2011

• Junior Scholarship of Government of Bangladesh in Talent pool; 2009

• 2nd runner up at 1st Gregorian Mathematics Olympiad; 2005

• Attended Workshop on Simulink; 2017

• General Member, AUST Innovation & Design Club ; April 2017 - March 2018

• Member at Gregorian Scouts ; 2002-2003

Machine Learning and Deep Learning

• "Machine Learning" offered by Stanford University and instructed by Dr. Andrew Ng on Coursera platform

• "Neural Networks and Deep Learning" offered by deeplearning.ai and instructed by Dr. Andrew Ng on Coursera platform

• "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" offered by deeplearning.ai and instructed by Dr. Andrew Ng on Coursera platform

• "Structuring Machine Learning Projects" offered by deeplearning.ai and instructed by Dr. Andrew Ng on Coursera platform

• "Convolutional Neural Networks" offered by deeplearning.ai and instructed by Dr. Andrew Ng on Coursera platform

• "Sequence Models" offered by deeplearning.ai and instructed by Dr. Andrew Ng on Coursera platform

• "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" offered by deeplearning.ai and instructed by Laurence Moroney on Coursera platform

• "Convolutional Neural Networks in TensorFlow" offered by deeplearning.ai and instructed by Laurence Moroney on Coursera platform

• "Mathematics for Machine Learning: Linear Algebra" offered by Imperial College London and instructed by Dr. David Dye & Dr. Samuel J. Cooper on Coursera platform

• "Applied Machine Learning in Python" offered by University of Michigan and instructed by Dr. Kevyn Collins-Thompson on Coursera platform.

• "How Google does Machine Learning" offered by Stanford University and instructed by Google Cloud Training on Coursera platform

• "Machine Learning for All" offered by University of London and instructed by Dr. Marco Gillies on Coursera platform.

• "Build a Data Science Web App with Streamlit and Python" offered by Rhyme and instructed by Snehan Kekre on Coursera platform

Python

• "Programming for Everybody (Getting Started with Python)" offered by University of Michigan and instructed by Charles Russell Severance on Coursera platform

• "Python Data Structures" offered by University of Michigan and instructed by Charles Russell Severance on Coursera platform

• "Using Databases with Python" offered by University of Michigan and instructed by Charles Russell Severance on Coursera platform

• "Using Python to Access Web Data" offered by University of Michigan and instructed by Charles Russell Severance on Coursera platform

• "Capstone: Retrieving, Processing, and Visualizing Data with Python" offered by University of Michigan and instructed by Charles Russell Severance on Coursera platform

• "Python Classes and Inheritance" offered by University of Michigan and instructed by Dr. Steve Oney & Dr. Paul Resnick on Coursera platform

HTML, CSS, & JS

• "HTML, CSS, and Javascript for Web Developers" offered by Johns Hopkins University and instructed by Yaakov Chaikin on Coursera platform

• "Single Page Web Applications with AngularJS" offered by Johns Hopkins University and instructed by Yaakov Chaikin on Coursera platform

  "Advanced Styling with Responsive Design" offered by University of Michigan and instructed by Dr. Colleen van Lent on Coursera platform