OMAR A. M. ABUOBIDALLA 1-438-***-****, ********@*****.***
OMAR AWNI MOHAMMED ABUOBIDALLA
**** **** ***** **** ****, M8V 0B1, Toronto, ON, Canada PROFILE
Delivering, deploying, and managing large analytics, reporting, and planning tools to support data- driven insights and decision making projects.
6+ years of industrial experience in modeling and solving various business requirements into tested applications to deliver optimization-based projects.
Having expertise in Mathematical programming, Optimization, (Meta)heuristics, Process simulation, Operations Research, Big Data, Data mining and Quality control.
Developing and analyzing Arti cial Intelligence/Machine Learning models to predict total resources at end of project.
Experienced in identi cation and implementation of improvement opportunities in sectors like Railway transportation, Aerospace, Furniture, Transportation, Healthcare, Food industry, etc.
Work as Process Improvement in Departments as Project Management, Warehouse, Procurement, Production, Logistic, Quality, among others
Strong analytical and problem-solving skills with the ability to interpret results and propose recom- mendations by translating analytical models into a coherent story.
Excellent skills in interacting with technical and non-technical teams at di erent companies. SKILLS
Software:
Optimization packages: CPLEX (Concert
Technology), GAMS, LINGO
Programming language: Matlab, C++, Java,
Python
Fair knowledge of Microsoft SQL
Quality control and statistical analysis:
Minitab, R
Process simulation: ProModel, Arena
Familiar with IBM AS400 ERP
Project Management: MS. Project
Operating Systems, Editors, Tools: Linux, La-
tex, GitHub
Machine learning & analytics: Scikit-learn,
Keras, Pandas, Matplotlib, Plotly, Seaborn,
Tableau
Microsoft O ce (Word, Power Point, Project,
Visio, Access, Excel)
VBA Macros Excel
Language:
English: Fluent
Arabic: Native
French: Basic
PROFESSIONAL EXPERIENCE
Process Improvement and Data Analyst Specialist November 2019 - present Ontario Northland Transportation Commission (ONTC), Northbay, Ontario, Canada
Supporting procurement teams in completing forecasting process.
Developed optimization tools to identify new opportunities for operational improvement.
Developed and understanding of advance operational processes report to analysis labor requirements.
Maintaining reporting dashboards to inform executives current metrics, trends, and improvement op- portunities regarding total labor hours and materials costs.
Provide analytical input to production manager in adjusting labor plans, models, and operational support tools.
Prepared and presented key ndings to business stakeholders.
Solving resources allocation problems in multi-projects environment using quantitative approaches. Page 1 of 3
OMAR A. M. ABUOBIDALLA 1-438-***-****, ********@*****.***
Conducting Research and Development for large-scale decision optimization projects for Planning and Optimization Resources.
Mentoring and assisting on best practices for the design and implementation of heuristic methods.
Applying various programming languages and software including C++, CPLEX.
Extracted and load raw data from various sources, i.e., Customer excel report from IBM AS/400, Inventory On Hand, Materials Requirement Planning, Procurement P/O, FAB Bill of Material.
Collaborating with the R&D and IT groups to integrate an optimization algorithm into ERP system. Operations Research and Data Analyst Intern December 2016 - November 2019 Ontario Northland Transportation Commission (ONTC), Northbay, Ontario, Canada
Adapted advanced techniques, such as optimization, statistical analysis and mathematical modeling, to develop solutions that help Railway Car Remanufacturing Centre (RRC).
Identi ed of improvement opportunities and collaborative implementation of solutions with diverse Departments (Project Management, Shop
oor, Production Planning, Warehouse, Procurement, etc).
Designed of mathematical models for optimizing resources allocation in a multi-project environment.
Collaborated with all departments to convert manual processes into automated ones.
Developed of process simulation for analyzing current work
ow and improvement opportunities: (i) Impact of shift schedule on the project performances for RRC, (ii) Job Shop Scheduling tool for FAB shop, (iii) Quotation tool for locomotive shop.
Elaborated of an automatic scheduling system for Locomotive projects.
Developed and monitored of KPIs and reports for diverse Departments.
Worked closely with the senior managers to develop advanced reports for company analytics: (i) Non Conformance Noti cation, (ii) Material Change Noti cations, (iii) RRC KPI’s dashboard, (iv) Locomotive KPI’s dashboard, (v) Supplier KPI’s dashboard.
Designed an analytical tool for employee vacation bidding requests for HR department.
Supported procurement teams to perform: (i) inventory reconciliation, (ii) inventory count, and (iii) review suppliers’s delivery performance on a regular basis.
Extensively wrote complex SQL scripts to extract and load data from data warehouse. Process Improvement Intern October 2018 - December 2018 Seatply Products Inc., Production Department, Montreal, Quebec, Canada
Performed Statistical analysis of processing time data to determine patterns in the di erent production activities and combined raw data into insights and performed statistical analysis.
Developed and validated Process simulation algorithms for the current state of the Job shops and worked with visualizations of data.
Elaborated a Process simulation algorithm to study the bene ts of Cellular manufacturing implemen- tation.
Operations Research Analyst (Research Assistant) September 2015 - November 2019 Concordia University; NSERC, Montreal, Quebec, Canada
Applied Mathematical modelling techniques for planning and scheduling hazardous materials shipments in railway transportation.
Developed predictive models, i.e. Random forests and XGBoost, using Python to predict the price of the delivery.
Developed heuristics for obtaining the close optimal solution of the proposed problems.
Implemented novel innovative (Meta)heuristics algorithms using CPLEX and C++ to solve large-scale instances of decision making models.
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OMAR A. M. ABUOBIDALLA 1-438-***-****, ********@*****.*** Data Analyst specialist September 2011 - September 2014 Michelin Revolutions Arti cial Intelligent Corporation, Abu Dhabi, UAE
Analyzing large data sets to analyze total labor hours and material costs at completion.
Building advanced analytical tools to provide meaningful insights by measuring key performance met- rics for various departments.
Developed and deployed a advance predictive model in production to forecast labor hours and material costs at end of the project.
Quality Control and Operation Research Engineer August 2008 - June 2011 National Marine Dredging Company, Abu Dhabi, UAE.
Provided support for all aspects of the Quality System.
Reported Quality System metrics to senior management in a regular basis.
Applied sound, systematic problem-solving methodologies in identifying, prioritizing, communicating, and resolving quality issues.
Data Analyst Intern February 2008 - April 2008
National Petroleum Construction Company, Abu Dhabi, UAE
Developed KPIs & Reporting Tools to measure e ectiveness and e ciency of processes through building dashboards and data visualizations.
Wrote complex queries in MS SQL to extract and manipulate production historical data.
Performed data quality control, cleansing and its combination from Production and Quality department sources
EDUCATION
ALHOSN University, Abu Dhabi, UAE September 2005 - September 2008 Bachelor of Science in Industrial Engineering CGPA: 3.90/4.00 SELECTED COMPLETED CERTIFICATIONS
Core-JAVA Workshop 2017
Certi cate of completion in Project Management 2006
Certi cate of appreciation from Emirates Environmental group 2006 SCHOLARSHIPS AND GRANTS
Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery grants 2015-2019
Canadian National (CN) Railway Scholarship 2015-2019
Received Academic Fellowships in Engineering 2007-2008
Received Research Fellowship from Environment Agency in Engineering 2007
Received Academic Fellowships in Engineering 2006-2007 Page 3 of 3