Work experience

Graduate Research Assistant                                                                                                       

Aug. 2022 - Present

Department of Industrial and Systems Engineering, North Carolina State University Raleigh, NC

Project 1: Optimal Pop-up Market Locations for Food Bank of Eastern and Central North Carolina

• Developed a mixed integer programming and stochastic model for optimizing the locations for pop-up markets under NSF Award#2125600

• Developed Bender’s decomposition with feasibility cut algorithm to reduce computation time for large-scale problems

Project 2: Estimation of food Insecurity in Census Tract Level using machine learning

• Leveraging Food Atlas Research data from USDA, modeled tree-based (random forest, decision-tree) and adaptive

boosting regression to estimate food insecurity rate at census tracts level[Model]

Project 3: Food Rescue Landscape Analysis for Feeding America

• Developed interactive dashboards using Tableau to highlight current food rescue scenario and a surrogate framework using generalized linear models, and tree-based models (decision tree, random Forest) to estimate the ESG rating and performance of food rescue organizations. Compared the result with direct ESG grouping using classification models (logistics regression, support vector machine, naive Bayes, and tree classifiers)

Project 4: Stochastic Modelling of Distribution Under Extreme Events in Hunger Relief Supply Chain

• Developed a two-stage stochastic model for optimal distribution of donated foods to food insecure neighborhoods under disaster events and proposed L-shaped Bender’s cut formulation with feasibility cut to make the model computationally efficient. Additionally, solved the problem with a dynamic programming approach.

Project 5: Agent Behaviors in Hunger Relief Network

• Used step-wise regression and regularized models (Lasso, Ridge, elastic net) learning approach for predicting

needs for food insecure persons in the US [Project]

• Used Schelling’s model of segregation in agent-based simulation optimization for understanding norms in

different agents. [Project]

Lecturer 

Jan. 2020 - Aug. 2022

Industrial and Production Engineering, Ahsanullah University of Science and Technology Dhaka, Bangladesh

• Actively trained students in several data analytics, supply chain management, and inventory control courses. Used

MATLAB, Excel, Python, and Minitab for training and analysis

• Mentored and participated in research publications using linear programming, multi-criteria decision analysis, and

machine learning to solve real-life problems

• Actively performed the task of preparing a new course curriculum for the academic council

Industrial Engineering Intern 

Feb. 2018 - April 2018

Fakir Apparels Ltd. Dhaka, Bangladesh

• Identified the root causes of sewing defects and proposed auspicious corrective actions to reduce these defects.

• Performed Pareto analysis to identify the most significant one among all the defects in two production lines.

• Performed Plan-Do-Check-Act (PDCA) Cycle to establish the corrective actions based on the root cause analysis.

• Used Arena simulation software to simulate and optimize the production layout of Fakir Apparel Ltd