Md. Shakhawat Hossen-
-
Kotbari, Cumilla Sadar Dakshin, Cumilla, Bangladesh
Md. Shakhawat Hossen
shakilnab
Portfolio
Career Objective
A passionate computer science learner and educator with a strong foundation in data science, machine
learning, and artificial intelligence. Currently engaged in research on the impact of Internet shutdowns
using machine learning. I am eager to contribute my expertise to both academia and industry. I am
committed to developing innovative AI-driven solutions that address real-world challenges, leveraging
my skills in data-driven decision-making and model deployment.
Academic Credentials
MSc (Engineering) in Computer Science & Engineering
Comilla University
January 2024 – Present
BSc (Engineering) in Computer Science & Engineering
Comilla University
March 2018 – January 2024
Position: 5th; CGPA: 3.73/4.00
Higher Secondary Certificate
Noakhali Government College
2017
GPA: 5.00/5.00
Secondary School Certificate
Begumganj Government Pilot High School
2015
GPA: 4.44/5.0
Projects
Academic Thesis: Internet Shutdown: A Machine Learning Approach for Studying the Effects and Consequences
of Government-Imposed Disruptions to Control a Movement. (Ongoing)
Diabetes Prediction with Diverse Classifiers: A Comparative Study (view)
Python, Machine Learning Classifiers
September 2023
•
Led a research focusing on various classifiers' effectiveness for early diabetes identification and care.
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Demonstrated Random Forest classifier's performance with 82.24% accuracy and 0.754 AUC score.
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Implemented a Graphical User Interface for simplifying data entry for various features of diabetes data.
Brain Tumor Detection and Analysis using Convolutional Neural Networks (view)
Python, Convolutional Neural Networks(CNN), Jupyter Notebook
June 2023
•
Developed and fine-tuned a Convolutional Neural Network (CNN) model for brain tumor detection,
optimizing hyperparameters to improve accuracy and efficiency.
•
Designed and implemented an intuitive user interface for seamless input of MR images, achieving a high
classification accuracy of 78% in identifying tumor and non-tumor regions.
Underwater Object Classification: Rock vs Mine (view)
Python, Exploratory Data Analysis, Logistic Regression
January 2023
•
Developed a machine learning model to classify underwater objects (rock vs. mine) using sonar data.
•
Implemented data preprocessing, feature selection, and model evaluation to improve classification
accuracy.
Educational Workshops
•
International Conference on Machine Intelligence and Data Science Applications
Dec. 2021
(MIDAS 2021) | Organized by Department of CSE, Comilla University
Duration: 2 days
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Programming Competencies
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Proficient in solving algorithmic problems on various online judges.
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Skilled in tackling algorithmic challenges and participated in various online programming contest.
•
My coding profile:
StopStalk: Md. Shakhawat Hossen (view)
Kaggle: Md. Shakhawat Hossen (view)
Codeforces: shakilnab (view)
Online Certifications
Mathematics for Machine Learning and Data Science Specialization
Credential ID: E8FRDYNUOHVS
Platform: Coursera
Machine Learning Specialization
Credential ID: E8FRDYNUOHVS
Platform: Coursera
Professional Programming with C#
Credential ID: SHAD017311
Platform: Dev Skill
Technical Skills
Data Manipulation and
Analysis: SQL, Excel
Programming Languages:
Python, C, C++, C#
Developer IDE: Visual Studio,
CodeBlocks, Jupyter Notebooks
Presentation Software:
PowerPoint, Draw.io, Figma
Data Visualization: Matplotlib,
Seaborn, Plotly, Excel
Version Control: Git, Github
Soft Skills
Leadership, Presentation, Teamwork, Critical thinking, Consistency, Innovative & Initiative, Communication.
Areas of Interest
Research, Teaching, Machine-learning, Deep Learning, Exploring new technologies.
Affiliations
Member, Lal Sobujer Bondhon
Comilla University, Bangabondhu Hall Unit
2018 - Present
Former Member, Comilla University IT Society
Comilla University
2019 - 2023
Former Member, Comilla University Rotaract Club
Comilla University
Former Vice President, Noakhali Students Association
Comilla University
2021 - - 2022
References
Dr. Mahmudul Hasan, SMIEEE
Associate Professor
Department of C.S.E.
Comilla University, Cumilla - 3506, Bangladesh
E-mail:-
Partha Chakraborty
Assistant Professor
Department of C.S.E.
Comilla University, Cumilla - 3506, Bangladesh
E-mail:-
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