Jacob Mathews Parappuram

682-***-**** ● ady7to@r.postjobfree.com ●www.linkedin.com/in/jmathp ● Houston, Texas EDUCATION

Master of Science in Industrial Engineering - University of Texas at Arlington May 2023 Post Graduate Diploma in Operations Management - IGNOU Bangalore India April 2021 Bachelor of Technology in Mechanical Engineering – Mahatma Gandhi University, Kerala India May 2016 TECHNICAL SKILLS

Lean Tools: DMAIC, SPC, Value Stream Mapping, Process Capability, Kanban, 5S, Power BI, TQM, RCA, PDCA, OEE. Statistical Tools: Advance Excel, R Studio, Tableau, Time Study, SAS, Minitab, KPI Metrics. Programming Languages: VBA, SQL, C, C++, and Python. Other Skills: Dassault CATIA v6, AutoCAD, SketchUp, Ansys Icepak, MS Excel, MS Word, MS Word, MS PowerPoint. Certifications: Six Sigma Green Belt from Institute of Industrial and system engineers (IISE) (Click on link to view) PROFESSIONAL EXPERIENCE

Industrial Engineering Intern – Dickies, a VF Corporation – Fort Worth, Texas June 2022 – May 2023

Collaborated with Logistics and transportation team, achieving 24-hour order delivery and improved SLAs.

Planned Process improvement initiatives, reducing transaction time and costs with 5S and DMAIC methodologies

Applied Value Stream Mapping (VSM) to conduct root cause analysis and implement corrective actions.

Utilized SPC to drive process optimization and enhance product quality by creating a fishbone diagram.

Modeled FMEA (Failure Mode and Effects Analysis) to enhance workflow effectiveness and mitigate risks.

Utilized advanced Excel functions for optimized SKU slotting and optimized inventory management.

Streamlined worker operations through time study analyses, enhancing productivity by 15 %.

Orchestrated WH 80 floor palletization optimizations, increasing pallet capacity by 56%.

Executed deep pallet storage project, quadrupling storage density and enhancing forklift operations.

Developed 300-page SOP manual, ensuring operational consistency and clear execution guidelines.

Managed Bill of Materials (BOMs) for efficient production and inventory.

Initiated demand and supply forecasting techniques to optimize inventory levels, minimize stock outs, and improve overall supply chain efficiency.

Implemented data-driven corrective actions using Six Sigma and Pareto analysis, resolving process issues and enhancing operational performance.

Kaizen techniques were successfully applied in the "Putwall to Carts" project, which led to an 18% improvement in packing efficiency and accuracy.

Enabled Warehouse Management System (WMS) to efficiently manage Order Pick Notes (OPNs) and achieve line balancing through the application of Takt time techniques. Senior Quality Engineer – Unacademy – Bangalore, India April 2020 – June 2021

Incorporated statistical cost estimating methods, resulting in a 25% reduction in expenses for the K12 category.

Achieved less than 5% error rate in live test series, improving reliability and customer satisfaction.

Successfully mitigated K12 content production costs by 40% through the implementation of cost estimating techniques and parametric costing methods.

Identified and addressed quality discrepancies in vendor-provided content, driving continuous improvement and maintaining superior quality.

Instituted project management tools and applied operations management methods to enhance workflow efficiency.

Directed K12 category operations, achieving a 2% increase in ratings and a 95% satisfaction level, demonstrating effective leadership and customer focus.

Senior Process Engineer – Amazon – Bangalore, India August 2018 – March 2020

Achieved a 12% efficiency improvement by implementing Kanban and streamlining data management processes.

Drove 15% revenue growth and expanded market share through effective competitor price mapping.

Ensured 91% accuracy in product mapping, enabling strategic decision-making and enhancing customer satisfaction.

Working together with B2B and B2C teams increased market competitiveness by 17%. Process Engineer – Wipro Limited – Bangalore, India January 2017 – August 2018

Engineered AI vehicle tracks, optimizing resource utilization by 25% for Uber's Driverless Vehicle Project.

Delivered 87 % data quality and precision, ensuring accurate insights for project success.

Accelerated object tracking quality by 82% through sample model integration in the cloud system.

Demonstrated deep learning expertise, delivering top performance with 91% accuracy in object tracking using Lidar points, with the aid of process mapping.