Supply Chain Machine Learning and Operations Management

Gbeminiyi John Oyewole

Operations research, manufacturing, supply chain, warehousing/logistics scientist/analyst

Work Authorization Status: Permanent Residence (Green Card)

**** ********* *****, **ownsburg, IN, 46112, Home no: 765-***-****, ***********@*****.***

https://www.linkedin.com/in/gbeminiyi-oyewole-phd-pr-eng-362b4528/

EXPERIENCE/SKILLS SUMMARY

More than 10 years of problem-solving and being a passionate operations research/supply chain analyst, supervisor, and business analyst. (Planning, researching, supervising, modelling, and solving optimization problems).

I have more than 10 years of experience in quantitative data analysis and Over 4 years of experience in Logistics and Warehouse Management.

5 years’ experience in improving production systems using Machine Learning techniques (supervised and unsupervised learning in Python and R studio).

8 years’ experience in mentoring and providing industry solutions to projects related to resource allocation, developing intelligent models and optimization.

Over 5 years of experience using Java, CPLEX, and AMPL (mathematical optimization software) to model and solve transportation/manufacturing/service-related use problems.

4 years of experience with R Studio to analyse and visualize industry-related electricity pricing problems.

More than 4 years of experience improving efficiency in Production processes by more than 25% with simulation software such as Arena and Simo.

Registered Professional Engineer (Industrial Engineering) with the Engineering Council of South Africa (ECSA).

TECHNICAL SKILLS

•Productivity improvement, supply chain optimization, and mathematical programming: IBM CPLEX, AMPL, Gurobi, Excel solver, Google Collabs, Google Sheets.

•Data Analysis, regression analysis and Visualization with R statistical software.

•Computer Programming in JAVA and Python.

•Modelling and Simulation with Arena and Simio .

•Machine learning implementation with Jupyter-Python Notebook libraries (Sci-Kit learn, Pandas, Numpy etc)

•Training attended in data visualization using Amazon Web services Quick sight and PowerBI.

•Workplace communication and Research planning: Endnote, Turnitin, MS Excel, MS Word, MS PowerPoint Point, MS Visio, MS Access.

•Preparation of manuscripts for publication in Conferences and Journals

•Certified EON-XR Educator Trainer (CERTIFICATE No : 332-378-EON-XR-2022

•Presentations and lecturing of students (Blackboard software, MS PowerPoint, curriculum development, etc)

•ERP (Experienced Microsoft Nav Dynamics user)

PROFESSIONAL EXPERIENCE

Operations Research Analyst/Scientist Dec 2024– Present

Brownsburg, Indiana, United States (Onsite)

Developed Productivity improvement and mathematical models, leading to optimized solutions.

Improved production systems through machine learning, reducing inefficiencies by more than 25%.

Consulted on business productivity improvements and managed intelligent research projects related to resource allocation, leading to over 35% profit.

Implemented green initiatives and sustainability solutions for manufacturing and service-related problems, leading to safety and increased productivity.

Conducted panel data analysis and simulation modelling, leading to better policy formulation

Provided remote mentorship of one Doctoral and over 10 master’s students' industry projects on productivity improvement using machine learning techniques.

Moderated and examined capstone Industrial engineering projects.

Senior Lecturer (Full-time Academic position) Jan 2023 – Nov2024

(operations research, business analytics and supply chain Optimization)

School of Mechanical, Industrial and Aeronautical Engineering University of the Witwatersrand. South Africa

Coordinated and managed 4th year (bachelor) Decision support and intelligent system course. (Simulations and Machine Learning) and 3rd-year operations research module.

Supervised 4th year, master and doctorate research/design projects on transportation route optimization, manufacturing process improvement and, sustainability consideration in community services.

Membership of ICT, library committee and ECSA course quality/audit committee.

Lecturer (Part-time Academic position) Feb 2020 – June 2024

(Department of Industrial Engineering, Operations Management and Mechanical Engineering, Vaal University of Technology • Vanderbijlpark, South Africa

Taught and managed subjects such as Facility planning and design, Modelling and simulation, Modelling in Operations Management, Production Engineering, Industrial Leadership and Operations Management, Industrial engineering Project planning and design, and Industrial Engineering project design and Implementation.

Supervised Postgraduate and Master’s research students

Authoring and co-authoring research articles in conferences and journals with students

Postdoctoral Fellow Jul 2020 – June 2022

(Engineering and Technology Management Department, University of Pretoria • Pretoria

Conducted reviews and studies on Clustering techniques

Applied R- statistical software in data analysis, data visualization and regression analysis (e.g the Probit, ordinal logit regression and multinomial regression).

Applied clustering and regression analysis to study industrial and Household electricity pricing problems, leading to better policy formulations and regulations.

Assistant Lecturer/Teaching Assistant Feb 2017 - Dec 2019

University of Pretoria • Pretoria

Lecturing in class and course coordinator, Group Project work coordinator.

Warehouse/Logistic Manager Mar 2013 - Dec 2016

The Candel Company Limited/ Candel Agrochemical Manufacturing Company • Kaduna/Lagos, Nigeria

Scope of work:

•Managed and coordinated smooth receipts of imported/local raw materials and packaging materials from vendors to increase the availability of resources by more than 95%.

•Planned and coordinated the proper storage of raw materials, packaging materials, and finished products, with daily stock-taking to ensure an accurate inventory level.

•Coordinated the systematic issuing of suitable raw and packaging materials to the production/process team and receipts of damaged production materials backed by strict documentation and monitoring.

•Organized and coordinated human, technical, and government regulatory factors to facilitate the loading of finished products to customers and warehouses with adequate documentation.

•Managed the daily inventory of Packaging and raw materials with the production plan using MS Excel and ERP software to notify the Production and finance team of sufficient materials, materials needing reorders, and out-of-stock materials.

•Ensured the management of all warehouse activities using ISO 9001: 2015 quality management principle as a certified Quality auditor and Implementation officer.

EDUCATION

Doctorate in Industrial Engineering Jan 2017 - Dec 2019

University of Pretoria • Pretoria

Master’s degree in industrial and production engineering Dec 2010 - Dec 2012

University of Ibadan • Ibadan, Nigeria

Taught and Research-based master’s degree program

Bachelor’s degree in chemical engineering May 2003 - Nov 2008

Obafemi Awolowo University • Ile-Ife, Nigeria

AWARDS AND HONOURS

Southern African Institute for Industrial Engineering (SAIIE) Green Conference 2020 Session 4 - Track 3 Shaking up Logistics

Best Track Paper- International Conference on Industrial Engineering and Operations Management (IEOM)-2018

Outstanding student service award International Conference on Industrial Engineering and Operations Management, Pretoria-2018

Winner, GOLD – Sustainable Consumption and Production, UNLEASH Global Innovation Lab Copenhagen and Aarhus- (August 13th to 21st, 2017)

Winner, Most Impact Potential Solution UNLEASH Global Innovation Lab Copenhagen and Aarhus- (August 13th to 21st 2017)

PROJECTS IMPLEMENTED/ PUBLISHED JOURNAL /CONFERENCE ARTICLES

Available on:

https://scholar.google.com/citations?user=M6J999IAAAAJ&hl=en

http://orcid.org/0000-0001-7597-887X

Internships

PZ Cussons Nigeria PLC/United Nigeria Textiles PLC July 2007- Dec 2007

Applied practical scientific and work breakdown principles during Internship at the PZ Cussons Nigeria PLC (Ikorodu Plant)

Managed key performance indicators on efficiency, effectiveness and safety to drive operational excellence.

Significant exposure to Shift Managerial work roles during Internship at PZ Cussons Nigeria plc

Design and drawing of a process flow diagram for the detergent Spray drying department at PZ Cussons Nigeria PLC

Facility inspector at United Nigeria Textiles PLC, Ikorodu, Lagos. June 2007

Conducted site and facility tours to identify safety issues and hazards, leading to improved operations and compliance with government regulations.

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