Knowledgeable Industrial Engineer skilled in process improvements, equipment design, and waste reduction. Strategic planner and analytical problem solver. History of improving production and maximizing efficiency.
Statistical Analysis of Defects for a Garment Industry, Concordia University
• Performed Data Analysis on the data and identified major defects using Pareto Analysis
• Using Machine Learning concepts, we suggested changes to the operating drying temperatures of the trousers to reduce length variation defects.
• Enlisted defects that have similar occurrence patterns using Data Visualization tools.
Design of intermodal transportation network for a manufacturing company, Concordia University
• Identified and resolved the supply chain challenges associated with a modal shift to coastal shipping.
• Proposed an optimal coastal shipping system using IBM CPLEX and Advanced Excel Tools (VLOOKUP, Pivot Table, HLOOKUP)
• Conducted a sensitivity analysis to compare the alternatives.
Determine an inventory policy of raw materials in the restaurant, Concordia University
• Cleaned, analyzed, and sorted the given data using SQL and Excel for developing the design.
• Conducted an ABC analysis to determine the popularity of raw materials.
• Achieved an average of 95% Cycle Service level at the lowest total cost of ordering and holding.
Capital BikeShare Demand Prediction, Concordia University
• Created a machine learning model (Linear Regression) in Python to forecast Capital Bikeshare's future bike rental demand.
• For managerial choices, exploratory data analysis was used, and 95 percent accuracy was achieved.