Education | Md Abdul Mutalib | ML Researcher

Education and Training

📚 Formal Education

Bachelor of Science (Engineering) in CSE | North East University Bangladesh (NEUB)
August 2019 - December 2023
- Relevant Courses to ML/AI: Data Structures and Algorithms (DSA), Machine Learning (ML), Deep Learning (DL), Artificial Intelligence (AI), Computer Vision (CV), Database Systems, Operating Systems (OS), Computer Networks, Discrete Mathematics, Numerical Methods, Object-Oriented Programming (OOP), Software Engineering
Higher Secondary Certificate (HSC) | Shah Khurrom Degree College
July 2016 - March 2019
Secondary School Certificate (SSC) | Beheli High School
January 2007 - March 2016

Workshop on Research & Publications, UniV | Remote | September 2024 - November 2024

Aspire Leaders Program 2024 | Aspire Institute, Harvard University
April - September 2023
- Gained skills in decision-making, strategic planning, team management, communication, and project management.
- Modules: Badge 1 | Badge 2 | Badge 3 | Certificate

Machine Learning with Python | IBM (Coursera)
- What I Learned:
  - Identified various types of Machine Learning algorithms and determined when to use them effectively.
  - Compared and contrasted linear classification methods, including multiclass prediction, support vector machines, and logistic regression.
  - Developed Python code implementing classification techniques such as K-Nearest Neighbors (KNN), decision trees, and regression trees.
  - Evaluated results from simple linear, non-linear, and multiple regression on datasets using appropriate evaluation metrics.
- Skills Acquired: Machine Learning, Regression, Hierarchical Clustering, Classification, SciPy, Scikit-learn
- Certificate: View Certificate| Verify
Supervised Machine Learning-Regression and Classification | DeepLearning.ai (Coursera)
- What I Learned:
  - Developed machine learning models in Python using popular libraries like NumPy and scikit-learn.
  - Built and trained supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression.
- Skills Acquired: Linear Regression, Regularization to Avoid Overfitting, Logistic Regression for Classification, Gradient Descent, Supervised Learning
- Certificate: View Certificate| Verify

10th International Youth Conference organized by www.IYCforYouth.org" Certificate
Synergies between Erasmus+ and the Marie Skłodowska-Curie Actions webinar organised by the Directorate-General for Education, Youth, Sport and Culture on 26/09/2024 Certificate