"The important thing is not to stop questioning. Curiosity has its own reason for existing."

Hi, I am Kazi Arman Ahmed. I am currently pursuing dual Master’s degrees at Oklahoma State University. As a Graduate Research Assistant, I work with large-scale healthcare datasets to uncover disease trajectories and support data-driven healthcare interventions. I also bring 3+ years of industry experience as a Senior Data Analyst, where I automated workflows and developed real-time dashboards to drive strategic decisions. I have maintained a perfect 4.00 GPA in my graduate studies while co-authoring peer-reviewed research and contributing to academic symposia. My passion lies in optimization, machine learning, and human-centered analytics—using data to solve complex problems in healthcare, manufacturing, and supply chain systems. I thrive on curiosity, impact, and collaboration. Let’s connect!

( Published : 5, Accepted : N/A, Under Review : 2 )

Research Works & Publications Ongoing Research

Optimization of Selective Laser Sintering (SLS) 3D Printing of Thermoplastic Polyurethane Elastomer: A Statistical Approach

Published in Journal of Manufacturing and Materials Processing

SCImago Journal & Country Rank

This research seeks to optimize selective laser sintering process parameters for TPU powder to achieve high-quality 3D printed parts. This involves determining ideal settings for layer thickness and laser power through modeling, experimentation, and mechanical fatigue and fracture analysis to ensure durability under real-world conditions.

Comparative Analysis of KNN and SVM in Multicriteria Inventory Classification Using TOPSIS

Published in International Journal of Information Technology

SCImago Journal & Country Rank

This research compares ML models to identify the optimal model for rapidly classifying new inventory in a multicriteria ABC system. By leveraging an initial TOPSIS analysis and evaluating SVM and KNN accuracy in predicting classes for new items, the goal is to find the most accurate model which will enable efficient categorization of newly added items based on multiple properties, avoiding disruption in competitive environments.

Advancing Breast Cancer Prediction: Comparative Analysis of ML models and DL-Based Multi-Model Ensembles on Original and Synthetic Datasets

Published in PLOS One

SCImago Journal & Country Rank

This research aims to enhance breast cancer diagnosis through a comparative evaluation of various machine learning and deep learning techniques using both original and synthetic datasets. The goal is to identify an optimal approach or combination of approaches that can improve prediction accuracy and contribute to the advancement of breast cancer diagnosis.

Supplier selection using machine learning integrated fuzzy AHP and Bayesian Belief Network approach: Case study of a jute company

Under Review in Expert Systems With Applications

SCImago Journal & Country Rank

This research seeks to optimize jute yarn supplier selection for a Bangladeshi company by integrating fuzzy AHP, Bayesian belief networks, and machine learning techniques. The goal is to develop an accurate data-driven model for weighing criteria, assessing supplier performance, analyzing risks, and identifying ideal suppliers to improve procurement decisions.

Machine learning-based models for cardiovascular disease prediction

Under Review in Informatics in Medicine Unlocked

SCImago Journal & Country Rank

This research seeks to identify the optimal machine learning model for accurately diagnosing cardiovascular disease early and conduct risk analysis using Bayesian belief networks on the optimal model. By determining the highest-performing ML approach, the aim is to develop an effective disease prediction system that improves clinical decision-making and patient outcomes through early detection and intervention.

Work Experiences

Graduate Research Assistant, IEM Department

As a Graduate Research Assistant, I analyze 10M+ patient records from Oracle Real World Data to study Juvenile Idiopathic Arthritis, developing healthcare data pipelines and implementing trajectory modeling strategies.

Graduate Teaching Assistant, IEM Department

Served as a Graduate Teaching Assistant for ENGR 1412 at Oklahoma State University, leading Python and Excel labs, managing Canvas LMS for 60+ students, and earning ~95% positive feedback for instructional effectiveness.

Senior Manager of Data Management Department

Leading the Data Management Team in LandQuire. My responsibility includes managing and analysing real estate property data, using Mixed Integer Linear Programming (MILP) models for profit optimization, constructing Monte Carlo Simulations to evaluate the return and risk of investments, and managing the ETL pipeline daily.

Projects

Certifications

Microsoft Azure AI Fundamentals (AI-900)

Earned the Microsoft Azure AI Fundamentals (AI-900) certification, demonstrating foundational knowledge of AI concepts and Microsoft Azure services used for machine learning and artificial intelligence solutions.

Supply Chain Dynamics

A course about Supply Chain Dynamics offered by MITx, an online learning initiative of the Massachusetts Institute of Technology.

Supply Chain Fundamentals

A course about Supply Chain Fundamentals offered by MITx, an online learning initiative of the Massachusetts Institute of Technology.

Supply Chain Analytics

A course about Suuply Chain Analytics offered by MITx, an online learning initiative of the Massachusetts Institute of Technology.

Data Analyst with Python

A Professional Data Analyst Certificate Provided by Datacamp which covered the uses of numpy, pandas, seaborn, scipy.stats for Data Analysis
Please click here to go through all the courses that I covered.

Certified Supply Chain Analyst

A course about Supply Chain Practices in Industry Level offered by Internation Supply Chain Education Alliance (ISCEA), after successfully completing the course and passing the exam one is rewarded with CSCA Credential

Python Data Structures

An online non-credit course about basics of Data Science authorized by Johns Hopkins University and offered through Coursera
Grade Achieved: 100%

A Crash Course in Data Science

An online non-credit course about basics of Data Science authorized by Johns Hopkins University and offered through Coursera
Grade Achieved: 100%

Using Python to Access Web Data

An online non-credit course about Scraping the web data using Python authorized by University of Michigan and offered through Coursera
Grade Achieved: 99.09%

Using Databases with Python

An online non-credit course about Database handeling using Python authorized by University of Michigan and offered through Coursera
Grade Achieved: 99.09%

Interactivity with Javascript

Interactivity with Javascript

An online non-credit course about Javascript authorized by University of Michigan and offered through Coursera
Grade Achieved: 94.82%

Achievements

Ptak Prize Scholarship Winner

Scholarship Winner at Ptak Prize 2018, a reputed international competition organized by International Supply Chain Education Alliance (ISCEA).

Champion in Inter Dept. Football Competition at MIST

Won the Champion Trophy at "Inter Department Football Competition-2018", played as the Right Back.

Gold Medalist in “Intra District Karate Competition” at Chittagong

Won Gold Medel in "Intra District Karate Competition" which was organized by Chittagong District Sports Association

Extra Curricular Activities

Guest Speaker at MIST OptiMist Club

Got invited as the "Guest Speaker" at a seminar about Supply Chain Management, organized by MIST OptiMist Club.
Topic Was:- "Getting Started with PTAK: Road Towards CSCA"

President of MIST Debating Society

Organized Idea Hamaster-2, Orator's Ground-1, Orientation and Annual General Meeting.
Got recognition as the best club to organize most event in a calander year.

Debate Captain of MIST IPE Department

Led the department to the semifinal of "Inter Department Debate Competition".