Education
Academic Background
Bachelor of Science (BSc) in Electrical and Electronic Engineering
BRAC University, Dhaka, Bangladesh | Year: 2021
Higher Secondary Certificate (HSC)
Cantonment Public School and College, Rangpur | Year: 2014
Secondary School Certificate (SSC)
Sathibari ML High School, Rangpur | Year: 2012
Certifications
IBM AI Engineering Specialization
- Mastered machine learning, deep learning, neural networks, and key ML algorithms including classification, regression, clustering, and dimensional reduction.
- Implemented supervised and unsupervised models using SciPy and Scikit-Learn.
- Deployed machine learning algorithms and pipelines on Apache Spark.
- Built deep learning models with Keras, PyTorch, and TensorFlow for various applications.
Skills Gained: Machine Learning, Deep Learning, Neural Networks, Python Programming, Computer Vision, Applied ML, ML Algorithms, Regression, Mathematical Analysis.
Deep Learning Specialization
Certified by DeepLearning.AI & Coursera
- Built and trained deep neural networks, implementing vectorized architectures for real-world applications.
- Developed CNNs for detection and recognition tasks, utilizing neural style transfer for creative image generation.
- Constructed RNNs and applied NLP techniques using Hugging Face transformers for Named Entity Recognition and Question Answering.
Skills Gained: Machine Learning, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Applied ML, Python Programming, Network Modeling, Computer Vision, Network Architecture, and Human Learning.
Machine Learning Specialization
Certified by Stanford Online & DeepLearning.AI
- Designed and trained machine learning models with NumPy and scikit-learn, mastering supervised learning for prediction and binary classification.
- Developed decision trees and ensemble methods, employing best practices for model development.
- Built recommender systems using collaborative filtering and deep reinforcement learning techniques.
Skills Gained: Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Human Learning, Python Programming, Regression, Mathematics, Critical Thinking, and Network Modeling.
IBM Data Science Specialization
- Acquired practical skills and knowledge essential for data scientists, including Python and SQL.
- Executed data importing, cleaning, analysis, and visualization, creating machine learning models and pipelines.
- Completed real-world projects, building a portfolio to demonstrate proficiency to potential employers.
Skills Gained: Data Mining, Deep Learning, Machine Learning, SQL Database Administration, Python Programming, Statistical Modeling, Data Quality, Big Data, Web Applications, RStudio, Jupyter Notebooks, GitHub, Analytical Skills, Problem Solving, Communication, Solution-oriented approach, Datasets, Methodology, Scripting, Generative AI, Data Science
TensorFlow Developer Specialization
Certified by DeepLearning.AI & Coursera
- Mastered TensorFlow to train neural networks for computer vision applications, implementing strategies to prevent overfitting.
- Developed natural language processing systems and trained RNNs, GRUs, and LSTMs using text data.
Skills Gained: Machine Learning, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Applied Machine Learning, Human Learning, Computer Programming, Python Programming, Computer Vision, Network Models, Data Visualization.