Md Abdullah Al Kafi

Enthusiast | Python | Machine Learning | Artificial Inteligence

Lecturer, Department of Computer Science and Engineering, Daffodil International University

Education

Daffodil International University, Dhaka, Bangladesh
Bachelor of Science (B.Sc.) in Computer Science and Engineering
January 2019 – December 2022
CGPA: 3.86 / 4.00

Naogaon Government College, Naogaon, Bangladesh
Higher Secondary Certificate (HSC)
January 2017 – December 2018
GPA: 5 / 5

Naogaon KD Government High School, Naogaon, Bangladesh
Secondary School Certificate (SSC)
January 2014 – December 2016
GPA: 5 / 5

Test Scores:

  • IELTS Band Score: 7.5
    Reading: 9, Listening: 8.5, Writing: 6.5, Speaking: 6.5
  • GRE: 307
    Quantitative: 157, Verbal: 150, Analytical Writing: 3

Research

1. Al Kafi, Abdullah, et al. ”Source Recommendation System Using Context-based Classification: Empirical Study on Multi-level Ensemble Methods.” Journal of Scientometric Research, vol. 13, no. 2, Phcog.Net, May 2024, pp. 475-484. DOI: 10.5530/JSCIRES.13.2.38.

2. Abdullah-Al-Kafi, Md, et al. ”A Review on the Relationship Between Human and Artificial Imagination with Their Implementations in Current Machine Learning Algorithms.” 2021 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021, Institute of Electrical and Electronics Engineers Inc., 2021. DOI: 10.1109/ICCCNT51525.2021.9579860.

3. Abdullah-Al-Kafi, Md, et al. ”Performances of Different Approaches for Fake News Classification: An Analytical Study.” Communications in Computer and Information Science, vol. 1534 CCIS, Springer, Cham, 2022, pp. 700-714. DOI: 10.1007/978-3-030-96040-7_53.

4. Sabbir, Wahid, et al. ”Improving Predictive Analytics for Student Dropout: A Comprehensive Analysis and Model Evaluation.” Proceedings of the 18th INDIAcom; 2024 11th International Conference on Computing for Sustainable Global Development, INDIACom 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 951-956. DOI: 10.23919/INDIACOM61295.2024.10498520

5. Hasan, Rakib, et al. ”Predicting Diabetes in Women through Machine Learning.” Proceedings of the 18th INDIAcom; 2024 11th International Conference on Computing for Sustainable Global Development, INDIACom 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1307-1311. DOI: 10.23919/INDIACOM61295.2024.10499129.

6. Afridi, Arafat Sahin, et al. ”Comparative Analysis of Machine Learning Algorithms for Predicting Heart Disease: A Comprehensive Study.” Proceedings of the 18th INDIAcom; 2024 11th International Conference on Computing for Sustainable Global Development, INDIACom 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1265-1270. DOI: 10.23919/INDIACOM61295.2024.10498611

Certifications

  • Natural Language Processing in TensorFlow (Coursera)
  • Introduction to TensorFlow (Coursera)
  • Mathematics for Machine Learning (Coursera)
  • Machine Learning in Operation (Coursera)

Skills

  • Programming Languages: Python, Java, C, C++
  • Data Science & Machine Learning: TensorFlow, Scikit-learn, NLP
  • Tools & Frameworks: Git, Bash, Linux, OpenCV, Flask