Preetam Kulkarni Email & Phone Number

Arlington, Texas, United States

• Created a prototype of a crowd logistics mobile app using Google AppSheet to help farmers transport their produce
• Developed an agent-based model (ABM) of a centralized and decentralized crowd logistics network using Python and NetLogo
• Implemented sequential sampling to generate a Random Forest and Catboost model of an ABM of a crowd logistics network
• Developed a participatory ABM using Python’s Tornado and MESA packages and deployed it using cloud9 on AWS EC2 instance
• Conducted sentiment analysis on feedback from undergraduate students on participating in a simulation experiment
• Mentored and collaborated with graduate students in developing participatory ABMs on GitHub

Clarion, Iowa

• Implemented engineering deviation tracking and facilitated quality issue resolution through 8D for PDP projects
• Executed Advanced Part Quality Planning activities for OFP and PDP projects
• Conducted Design Process Assembly Reviews (DPAR) and PPAP submissions for purchased components
• Facilitated system, design and process failure modes and effects analysis (FMEA)
• Performed critical supplier risk assessment and created mitigation plans for PDP projects

Clarion, Iowa

• Developed an interactive dashboard linking machine failures to assembly stations
• Implemented workflow and process map for deviation tracking
• Collaborated with suppliers to resolve quality issues

Middle Amana, Iowa

• Created process maps and developed control plans for dimensional quality control of refrigerator doors
• Supported relaunch of a product (3X) and have written Standard Operating Procedure (SOP)
• Used DOE, SPC and root cause analysis to identify quality defects and implement corrective actions
• Conducted trial runs to modify manufacturing processes and reduced annual service incident rate by ~0.3%
• Won “Whirlpool Bravo” award for development and implementation of Door Value Stream Quality System

Ames, Iowa

Developed stochastic and deterministic optimization models for inventory control in MATLAB

Pune Area, India / Solihull, United Kingdom

• Analyzed and improved data consistency by 40% in GSPAS – assembly process management tool that uses standard language
• Reviewed and eliminated Non-Value-Added (NVA) operations in GSPAS resulting in a 30% reduction in cycle time allocation
• Verified digital pre-assembly of various Jaguar Land Rover vehicles and reduced the virtual build lead time by 60%
• Delivered knowledge transfer sessions on DELMIA V5 and GSPAS to a group of 10 employees in four sessions
• Won an award for developing work instructions in GSPAS for the assembly of ‘AJ133’ engine

Doctor Of Philosophy - Phd, Industrial Engineering, 4

Master’S Degree, Industrial Engineering, 3.91

Bachelor’S Degree, Mechanical Engineering, 82.1 %