Open to Opportunities

Md Shohanur
Rahman

ML Researcher & Operations Professional

Computer Science graduate from Daffodil International University with a track record of publishing IEEE research in machine learning and leading tech operations. I build systems that learn — and teams that deliver.

6 IEEE Papers
99% IDS Accuracy
3+ Years Research
Get in Touch Google Scholar ↗
Md Shohanur Rahman
IEEE Publications

Research Work

Six peer-reviewed papers across machine learning, deep learning, and cybersecurity — all published on ieeexplore.ieee.org.

Cybersecurity · ML

Network Intrusion Detection System

Built an ML-based IDS using Random Forest and XGBoost on the NSL-KDD benchmark dataset. Achieved 99% accuracy in classifying malicious network traffic — outperforming prior baselines.

Random Forest XGBoost NSL-KDD
View on IEEE ↗
Healthcare · DL

Breast Cancer Classification

Developed deep learning predictive models for early breast cancer classification, enabling data-driven clinical decision support.

Deep Neural Network Healthcare AI
View on IEEE ↗
Medical Imaging · Transfer Learning

MRI Brain Tumor Classification

Applied Transfer Learning to MRI scans for multi-class brain tumor classification. Produced comparative analysis across architectures with visual performance breakdowns.

Transfer Learning CNN MRI
View on IEEE ↗
Wellbeing · Ensemble Learning

Stress Level Analysis

Comprehensive analysis of human stress levels using Ensemble Learning and Neural Networks on behavioral and physiological data.

Ensemble Learning Neural Networks
View on IEEE ↗
Materials Science · DL

Glass Type Identification

Trained a Deep Neural Network to classify glass types from chemical composition data, achieving high classification performance across multiple categories.

Deep Neural Network Classification
View on IEEE ↗
Public Health · Prediction

Smoking Status Prediction

Built ML-based predictive models to classify smoking status from health metrics, contributing to public health screening automation.

Machine Learning Public Health
View on IEEE ↗
Career

Experience

Oct 2025 – Jun 2026 Dhaka, Bangladesh

Operations Coordinator

MariAid Ltd
  • Coordinated day-to-day operational workflows for efficiency and organizational alignment.
  • Served as key liaison between internal teams and external stakeholders.
  • Tracked and reported operational KPIs; identified bottlenecks and drove process improvements.
  • Supported departmental planning, scheduling, and compliance documentation.
Dec 2023 – Sep 2025 Remote / Academic

Lead Researcher & Primary Author

IEEE (ieeexplore.ieee.org)
  • Designed and led ML/DL research projects; primary author on 6 IEEE-published conference papers.
  • Built IDS achieving 99% accuracy using Random Forest & XGBoost on NSL-KDD dataset.
  • Led research teams across cybersecurity, healthcare AI, brain imaging, and public health domains.
Capabilities

Skills

Technical

Python
Machine Learning
Deep Learning
Data Science & Analysis
Cybersecurity (SQA)

Professional

Research & Academic Writing
Operations Coordination
Project Management
Team Leadership
Stakeholder Communication

ML Frameworks & Tools

Scikit-learn XGBoost TensorFlow Keras Pandas NumPy Matplotlib Seaborn Transfer Learning Ensemble Methods
Academic Background

Education

🎓

B.Sc. in Computer Science & Engineering

Daffodil International University

Jan 2020 – Mar 2024  ·  Dhaka, Bangladesh

📘

Higher Secondary Certificate (HSC)

Sherpur Govt. College

Jul 2017 – Apr 2019  ·  Sherpur, Bangladesh

📗

Secondary School Certificate (SSC)

B.M.A.M High School

Jan 2015 – Feb 2017  ·  Sherpur, Bangladesh

Let's Connect

Get in Touch

Open to research collaborations, ML engineering roles, and operations opportunities.

✉️ Email hello.mshohanur@gmail.com 💼 LinkedIn View Profile ↗ 🐙 GitHub View Projects ↗ 🔬 Google Scholar View Papers ↗