About

I am a Ph.D. student in Computer Science at University of Missouri, Columbia, MO, USA. I have proven abilities to work under pressure where quick learning and problem-solving capabilities are my driving forces. Besides having a master’s degree in Computer Science and a bachelor’s degree in Computer Science and Engineering, I have worked for leading telecommunication companies in Asia - Robi Axiata Ltd and Grameenphone Ltd which serve more than 49 million and 83 million subscribers respectively. With my considerable technical and interpersonal skills and experience, I am always open to new challenges and newer opportunities.

I am currently working in a research project funded by National Science Foundation (NSF). As a Graduate Research Assistant, I design and conduct computational experiments related to scalability and reproducibility of Jupyter Notebooks. I also collaborate with cross-functional teams of scientists and engineers from the University of Illinois at Urbana-Champaign and the University of Notre Dame.

My research interests include but are not limited to Computational Reproducibility, Data Management, Machine Learning, and Natural Language Processing.

Education

• Ph.D. (ongoing) in Computer Science, University of Missouri, Columbia, MO, USA. 2025 - Present.

  Advisor: Dr. Tanu Malik.
  Research Topic: Reproducibility of Jupyter Notebooks.

• M.S. in Computer Science, Northern Illinois University, DeKalb, IL, USA. 2024.

  Thesis title: Evaluating Computational Reproducibility of Jupyter Notebooks Using Machine Learning and Natural Language Processing.
  Thesis committee: Dr. David Koop (chair), Dr. Hamed Alhoori (co-chair), and Dr. Reva Freedman.

• B.Sc. in Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh. 2018.

  Thesis title: Fake News Detection within a Static Dataset using Supervised Machine Learning Algorithms.
  Thesis committee: Dr. Md. Nazrul Islam Mondal (supervisor) and Dr. A. H. M. Sarowar Sattar (external examiner).

Skills

• Data Management: Enterprise Data Warehousing, Business Intelligence Data Integration, ETL (Extract, Transform, Load) in Oracle, MySQL, and Microsoft SQL Servers.
• Data Analysis: Machine Learning, and Natural Language Processing using Python libraries such as NumPy, Pandas, Scikit-learn, NLTK, Gensim, Matplotlib, Seaborn, OpenCV, SpaCy, SciPy, TensorFlow, PyTorch, and Keras.
• Data Visualization: Tableau, Microsoft Power BI, Microsoft Excel, and JavaScript D3.
• Automation: Tasks automation using Python, PL/SQL, JAVA, Bash, Windows PowerShell, and PHP.
• System and Server Administration: Red Hat Linux, SUSE Linux, and Windows.
• Interpersonal Skills: Leadership, teamwork, conflict management, patience, and communication.

Recent Activities

I have started Ph.D. in Computer Science at University of Missouri, Columbia, MO, USA.

I have started working as a Research Assistant at the Department of Electrical Engineering and Computer Science (EECS) of University of Missouri.

I have completed an M.S. in Computer Science from Northern Illinois University, IL, USA.

I have successfully defended my master’s thesis titled “Evaluating Computational Reproducibility of Jupyter Notebooks Using Machine Learning and Natural Language Processing.”