Paul C. Fierro

Shelby Township, MI *****

Professional Summary

• Forward-thinking Senior Systems Engineer and Manufacturing Management with over 30 years of experience in automotive industry, seeking to leverage expertise in simulation, manufacturing, production control, data analysis, optimization, and analytical decision making to take next career step.

• Highly accomplished in applying Lean methodologies to improve production and inventory management, resulting in multimillion-dollar cost savings. Success in translating vision into reality and enabling the achievement of high-reaching goals.

• Proven track record of success in long-term planning with the ability to forecast service needs for final production run. Exceptional Programmer of AI/Machine learning/ Python.

• Developed Traffic Improvement Tools in Python Flask for Fuel and Evacuation from disaster

• Developed Product Routing and Tracking algorithms in C and C++ - Heijunka and Material Pull Systems

Qualifications

• Industrial and Electrical Engineering

• Senior Python Engineer (numpy, pandas, scipy,scikit-learn, cv2)

• Production Control and Manufacturing

• Machine Learning – Optimization Theory

• Operations Management

• SUMO Traffic Simulations

• Long Term Forecasting Plan of Final Runs

• Statistical and Mathematical Modeling

• Forecasting Analyst-ARIMA

• Order Scheduling USPATENT #5,983,195

Education

• Bachelor of Engineering: Electrical Engineering

• State University of New York at Stony Brook - Stony Brook, NY, USA, Jan 1985- Aug 1988

• Tau Beta Pi – National Engineering Honor Society

• Eta Kappa Nu – Electrical Engineering Honor Society Skills:

• Data Analysis and providing Information and valuable insights

• Covid Dashboard in Tableau

• Statistical Methods

• VBA, C/C++,

• SUMO Traffic simulations

• SQL

• Python with Flask and Django API Development

• AWS EC2 Ubuntu, Heroku bash

• Troubleshooting problems

• JavaScript/Bootstrap/JQuery, Tableau

• MS-Excel, MS-Access, and SQL

• Python Machine learning: pandas, numpy, scipy, scikit-learn, optimization, statistical clustering.

• SAS long term demand forecasting clusters with Kmeans

• Data cleansing and outlier detection using recursion with IQR, Random Forest Professional Experience

Kubbla Navigation Services

Python Developer

04/2017 - Present

kubbla-tlp (Traffic Light Pattern) server on AWS Ubuntu

• Data Analysis of kinematic data conversion to fraudulent and signal data converted to traffic light pattern schedule.

• Highly skilled in optimization and analytics in python

• Developed Python flask Web server using flask API to create TLP (traffic light patterns).

• Utilized physics for kinematic plans for vehicles with linear algebra using numpy arrays.

• Programmed math optimizations to improve vehicle movements using scipy.

• Integrated kubbla-tlp python analytical functions to a central node.js CRUD server.

• Built SUMO traffic simulations in python to show systems benefit on emissions and mpg increase.

• Defined external requirements for Swift IOS client phone application.

• SQL queries on PostgreSQL database

• Started and maintaining AWS ubuntu servers for the mathematical TLP engine calculations kubbla-fes (Fire Evacuation Service) server on AWS Ubuntu

• Developed Python flask Web server to provide FES (Fire Evacuation Service) for community

• planning an evacuation of citizens from Fire.

• Forecast progression of a fire on AWS cloud servers using cv2, pandas, numpy, scikit, and SciPy. Created multi-threaded optimized Logistics Plan in real time for the community.

• Integrated to kubbla-tlp server API and iOS client phones to coordinate community evacuation.

• Built SUMO traffic simulation to show effectiveness of evacuation using python traci client.

• Providing services to Australian Firetech 2020.

Fiat Chrysler Automobiles, Auburn Hills, MI - Centerline, MI

(07/2002 - 04/2017)

Forecast Planning Analyst, Mopar Planning and Forecasting

(10/2010 - 04/2017

• Calculate, forecast, requirements to suppliers for final production run.

• Coordinate with runs through buyers, tool engineers, inventory control, and production control. MACK Engine Complex -Materials Manager Production Control 12/2008 – 10/2010

• Managed materials flow from warehouse to lineside and maintained control and accuracy over parts inventories, including transactions, procurement, planning, scheduling, cost, warehousing, and shipping and receiving to ensure on-time delivery. MAP Throughput -Manager, Sequencing and Scheduling Group 1/2007 - 12/2008

• Devised and introduced structure to build simulations, evaluate algorithms, optimize return on

• investment (ROI), and design and construct prototypes.

• Implemented prototypes to enable development of Windsor assembly routing and tracking system.

MAP Throughput-Manager, Data Analysis

07/2002 - 01/2007

• Performed Data Analysis to rank bottlenecks of facilities. Prior Experience

General Motors-Electronic Data Systems (02/1989 - 05/2002) NAO Competitive Manufacturing / General Motors (01/1996 - 05/2002) Lean Advisor / R&D, Pontiac, MI

07/1999 - 05/2002

• Conceptualized &Constructed the most Just-IN-Time Material Pull system in General Motors history.

• Prototype and proof of concept for automated material pull system saved 2-million-dollarsavings per plant per year, resulting in over $40-50M savings annually since 1999.

• 2000 Big Idea Award – “Most Innovative Engineering Award”

• 2000 GM Chairman's Honor

Hamtramck Assembly, Hamtramck, MI

Lean Advisor/Senior Systems Engineer

04/1999- 07/1999

• Participated in priority project to improve repeatability of model-mix schedule for final assembly and

• achieve even workflow or heijunka.

Fairfax & Linden Assembly - AGV Systems

Senior Systems Engineer

05/1998-04/1999

• Developed C programs to run AGV body shop scheduler, using IBM-AIX that communicated to AB PLC-5s, monitor processes critical to system operations.

• NAO Competitive Manufacturing

Throughput Trainer, Pontiac, MI

07/1997-05/1998

• Used Data analysis to rank system bottlenecks and provided bottleneck ranking in facilities. Gave training and education on throughput measurement and analysis to facilitate bottleneck reduction teams.

Lean Advisor, Pontiac, MI / Mansfield, OH

01/1996 - 07/1996

• Introduced optimal lot sizes with Scipress for batch pull system which improved Mansfield Metal

• Fabricating plant performance.

• This realized an avoidance of a $50M appropriation request. Analyzed floor space availability, costs due to setups, inventory, and racks reduction. Engineering Systems Engineer Hamtramck, MI

02/1989 - 01/1996

• Became SME for resequencing throughout General Motors. Contributed to development of improved

• scheduling method and designed simulations to support optimized method for De-Coupled Assembly Realtime Scheduling (DARTS).

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