Mathematics | Operations Research | Optimization | Data-Driven Decision Analytics
I am a Mathematics graduate from Shahjalal University of Science and Technology (SUST) and currently work as a Business Intelligence Analyst in the manufacturing industry.
My research interests lie in:
- Operations Research
- Mathematical and Combinatorial Optimization
- Mixed-Integer Programming
- Facility Location and Routing
- Transportation and Logistics Optimization
- Network Optimization
- Data-Driven Optimization
- Machine Learning for Decision-Making
My background combines mathematical research, computational modelling, optimization, and industrial decision analytics. I am particularly interested in developing rigorous optimization methods for complex operational systems and exploring how machine learning can complement mathematical optimization.
This project studies facility-location and routing decisions using mathematical optimization and approximation algorithms.
Key components include:
- Minimum set-covering formulation for geographic facility placement
- Exact metric Traveling Salesman Problem formulations
- Degree and subtour-elimination constraints
- Iterative constraint-generation approaches
- Christofides' approximation algorithm
- Minimum spanning trees and minimum-weight perfect matching
- Comparison of approximation and exact optimization solutions
Tools: Python, Gurobi, PuLP, SciPy/HiGHS, NetworkX
Research conducted through the SUST Research Center on matrix-based approaches to combinatorial structures involving partially ordered sets and lattices.
Tools: MATLAB, Mathematical Modelling, Combinatorial Mathematics
On the Determinant, Inverse, and Eigenvalues of Infinite Matrices
Worked on numerical and computational aspects of infinite matrices, including convergence, matrix functions, series expansions, eigenvalues, and numerical approximation.
As a Business Intelligence Analyst, I work on quantitative decision-support problems involving:
- Production capacity and resource allocation
- Machine utilization and downtime
- Manufacturing efficiency
- Scenario and what-if analysis
- Production planning
- Predictive modelling
- Operational performance analysis
These experiences have strengthened my interest in applying Operations Research to real-world decision systems.
Optimization & Mathematical Modelling
Gurobi • PuLP • SciPy/HiGHS • NetworkX • Mixed-Integer Programming • Combinatorial Optimization • Facility Location • Routing
Scientific Computing & Programming
Python • MATLAB • R • C++ • Fortran • SQL • NumPy • SciPy • pandas
Machine Learning
scikit-learn • PyTorch • TensorFlow/Keras • Predictive Modelling • Classification • Model Evaluation
Analytics & Visualization
Tableau • Power BI • Excel
Research & Development Tools
Git • GitHub • Jupyter • Google Colab • LaTeX • Streamlit
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Rubik's Cube – An Application of Group Theory
International Conference on Science, Technology, Engineering, Mathematics, and Education, 2023 -
The Alternative Form of the Order of an Element in a Group Under Addition Modulo
International Conference on Science, Technology, Engineering, Mathematics, and Education, 2023 -
Fine-Grained Classification of Depression, Loneliness, and Fear in Bangla Social Media Text
ICCIT 2026 — Submitted
- Email: arif.hossain.shakib@gmail.com
- GitHub: @perpendicooler