Maya Ibrahim Email and Phone Number
Industrial Engineer & Operations Specialist | Blending Analytical Insight with Creative Solutions at
@
TELUS Digital AI Data Solutions
Maya Ibrahim's Location
Canada, Canada
About Maya Ibrahim
With a unique blend of analytical problem-solving and creative thinking, I’m passionate about enhancing operational efficiency and elevating brand experiences. My background in industrial engineering and project management enables me to optimize workflows and deliver impactful results, especially in brand-driven environments. I thrive on translating customer insights into process improvements, collaborating with cross-functional teams to align operations with brand values and customer expectations.I’ve successfully managed projects involving budget oversight, resource coordination, and KPI tracking, while drawing on data-driven insights to inform strategic decisions. My experience extends to event coordination and marketing collaboration, where I’ve supported campaigns and brand initiatives that drive engagement and resonate with target audiences. Proficient in tools like Power BI, SQL, and project management software, I’m adept at delivering cohesive, impactful solutions that balance creativity with precision.As a Lean Six Sigma Green Belt, I’m dedicated to continuous improvement and fostering effective cross-functional partnerships to bring brand visions to life. I look forward to furthering my impact in roles where I can combine my diverse skills to support innovative, customer-focused strategies.
Maya Ibrahim's Current Company Details
Telus Digital Ai Data Solutions
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Industrial Engineer & Operations Specialist | Blending Analytical Insight with Creative Solutions
Maya Ibrahim Work Experience Details
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Data AnalystTelus Digital Ai Data Solutions Jun 2024 - Present
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Industrial Engineering AnalystLoblaw Companies Limited May 2022 - Jan 2024Canada• Collaborated in team of 5 to audit 10 Warehouse facilities and 6 store facilities across 9 Canadian cities, identifying and fixing root causes for deviations and generating distribution center process improvement savings• Continuously supported the creation of Labour Standards methodologies, implementations and updates• Collected and analyzed process time studies data via UMTPlus and MS Excel to develop and write SOPs in novice automated warehouse• Pioneered PLSQL adoption for KPI report generation, delivering executive insights that supported strategic decision-making and fostered informed weekly planning, directly enhancing operational excellence.• Led collaboration with external stakeholders to identify improvements in micro fulfillment center via Lean and Kaizen approaches• Collaborated with internal stakeholders to analyze novice automated warehouse design data and negotiate opportunities with contractors, to explore various Automated Guided Vehicle options, maximizing optimization opportunities -
Data SupervisorMetro Inc. Nov 2021 - May 2022•Streamlined inventory processing and data integrity within the Warehouse Management System (WMS), bolstering efficient inbound and outbound operations. • Collaborated with cross-functional teams to enhance supply chain processes, ensuring efficient eCommerce logistics, receiving and shipping operations.• Supervised daily live processing 30+ purchase orders of inventory, receiving and shipping operations• Managed Warehouse Management System (WMS) to ensure accurate translation to SAP and maintain data integrity• Lead continuous improvement initiatives resulting in warehouse savings• Trained 22 employees in receiving and inventory control teams to comply with new operating procedures• Collaborated with internal service providers to maintain integrity of automated induction site and troubleshoot operational issues, successfully launching novice automated warehouse operations -
Industrial Engineering StudentMetro Inc. Oct 2020 - Apr 2021Project for Industrial Systems Design (Capstone Course) at Ryerson University• Collaborated with an Industrial Engineering Student and Metro Inc. Stakeholders to develop a project plan to achieve the goal ofminimizing order picking (OP) distance in a Metro distribution center.• Utilized a mixed-integer nonlinear programming (MINLP) model via GAMS software to optimize the number of replenished palletsfor a given set of 2810 pick locations.• Investigated the effects of applying various SKU allocation strategies via Microsoft Office Excel, producing an optimal solution thatminimized the OP distance by up to 60%.
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Industrial Engineering Team Member: Production And Inventory SystemsRyerson University Sep 2020 - Dec 2020Toronto, Ontario, CanadaProduction Forecasting, Aggregate Planning, & Inventory Management of Product• Worked closely with one industrial engineering student to produce one-year ahead forecasts using the moving average method, exponential smoothing, regression analysis, Holt's method, seasonal forecasting, and Winter’s method.• Created workforce plans via aggregate planning using the Chase strategy, Incremental Chase strategy, Level strategy and linear programming. The most economic feasible solution was selected as the recommended plan.• Designed various scenarios to address deterministic inventory management via different cost plans. Stochastic inventory management was addressed using lot-sizing methods and associated costs were attributed. The most economic plan was recommended. -
Industrial Engineering Team Member: Information SystemsRyerson University Sep 2020 - Dec 2020Toronto, Ontario, CanadaMicrosoft Access Database & UML Diagrams for Manufacturing Inventory Management • Collaborated with one other student to create Unified Modeling Language (UML) diagrams were created to model the inventory management system.• Built a Microsoft Access database including various tables, forms, queries, and reports to answer questions from members of different departments and senior management.• Project was described in a detailed report and presented with audience to communicate project solutions.
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Industrial Engineering Team Member: Industrial ErgonomicsRyerson University Jan 2020 - Apr 2020Toronto, Ontario, CanadaCourse Project: Office Ergonomics Optimization• Collaborated in team of five engineering students on the redesign of workstations associated with assembly, performance testing and package units to implement more streamlined operations for increased production quality.• Reverse-engineered alternator to critically analyze, examine and integrate the effective processes that yield the end-product efficiently.• Using 5s and lean manufacturing principles, designed a solution that cut cycle times by 54% and reduced the number of personnel required by 55%. Resulting cost savings were estimated to be 48%. • Prepared final report describing product identification, operational work specifications, cost and value analyses, analysis of work specifications and personnel, delivery logistics and work-center schematic.
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Engineering Design Team Member: Facilities DesignRyerson University Jan 2020 - Apr 2020Toronto, Ontario, CanadaCourse Project: Design of Syringe Manufacturing Facility• Teamed up with 4 industrial engineering students to analyze the demand of the syringe industry and how an increased demand can be met for a new facility• Considered machine, equipment, material handling, space availability and personnel requirements as well as facility constraints and limitations to generate alternative solutions.• Designed an optimal facility layout and material handling solutions to promote productivity and efficiency through minimizing sources of waste and implementing lean manufacturing principles.
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Industrial Engineering Team Member: Systems Modeling And SimulationRyerson University Jan 2020 - Apr 2020Toronto, Ontario, CanadaCourse Project: Winner’s Queuing System Modeling and Simulation ProjectTo optimize the queuing system and the waiting lines of a retail system, a complete simulation analysis was conducted. The simulation models were created by collecting the data from two different days during the same time. The data was entered into Arena’s Input Analyzer to generate the distributions, histograms and their specific distribution parameters for arrival times and service times. The distributions and their parameters were used to produce outputs, which were used to verify the data and tweak the Arena model. The data was simulated for different times and volumes of customer traffic to identify areas of improvement. This revealed a cause of concern during rush hour, as the queues increased then, causing customer dissatisfaction and loss of revenue. In turn, this problem was analysed, and appropriate solutions and further recommendations were suggested. Proposed improvements were suggested for increasing profit and further optimizing the check-out service.
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Optimizing Ecommerce Logistics Network For Enhanced Delivery PerformanceRyerson University Jan 2020 - Apr 2020• Developed a mathematical model that reduced average delivery times by 20% and minimized transportation costs by 15%, focusing on maximizing customer satisfaction across a simulated logistics network.• Utilized the simplex method to solve a linear programming model, incorporating assignment, transportation, and transshipment models; performed sensitivity analysis, resulting in an adaptive model that improved decision-making accuracy by 30%.• Provided actionable recommendations for implementing the optimized logistics network, demonstrating the practical application of Operations Research techniques that could increase operational efficiency by 25%.
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Industrial Engineering Team Member: Work Measurement, Analysis And DesignRyerson University Sep 2019 - Dec 2019Toronto, Ontario, CanadaCourse Project: Alternator Workstation Design • Collaborated in team of five engineering students on the redesign of workstations associated with assembly, performance testing and package units to implement more streamlined operations for increased production quality.• Reverse-engineered alternator to critically analyze, examine and integrate the effective processes that yield the end-product efficiently.• Using 5s and lean manufacturing principles, designed a solution that cut cycle times by 54% and reduced the number of personnel required by 55%. Resulting cost savings were estimated to be 48%. • Prepared final report describing product identification, operational work specifications, cost and value analyses, analysis of work specifications and personnel, delivery logistics and work-center schematic.
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Industrial Engineering Team Member: Experimental Design And Quality AssuranceRyerson University Sep 2019 - Dec 2019Toronto, Ontario, CanadaCourse Project: Unilever Production Line Improvement • Acquired data and statistics pertaining to the weights and densities of mayonnaise in final stages of the line, providing insight on the variations from their target values.• Use of DMAIC process (Define, Measure, Analyze, Improve, and Control) to optimize process and reduce the variation in product properties, minimizing waste and improving efficiency. • Addressed peak downtimes in the beginning of the week and lead to an increase in overall equipment efficiency in production line.• Production of a report and presentation addressing the data, analysis and (re)-design stages of the project.
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Social Media And Events CoordinatorMercy Mission May 2018 - Dec 2018• Conducted online research on target audience and methods of community engagement, to achieve organizational goal of increasing community awareness of FosterLink Mission and increase donors.• Used Search Engine Optimization to write creative website content and updated website accordingly, attracting audience to the organization’s website.• Created and promoted content on social media platforms for marketing purposes, engaging the target audience.• Created and disseminated email newsletters for Mercy Mission and FosterLink news and events, updating target audience.• Coordinated various team members’ commitments to submit content for Mercy Mission and FosterLink communications, keeping the team organized. -
Vice President Of EventsEgyptian Students' Association At Ryerson University Nov 2016 - Nov 2017Ryerson UniversityPlanned, coordinated and executed various events and campaigns.• Communicated and negotiated with external service providers and sponsors, bringing quality service to ESA events.• Lead team through the logistics of events and kept them updated, thus ensuring transparency within the team. • Coordinating collaborated events with executives in other student groups on and off-campus and in turn, creating connections and increasing outreach for the ESA.
Maya Ibrahim Education Details
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Computer Programming Applications (Computer Coding)
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AccentureBasic Most -
Institute Of Industrial And Systems EngineersLean Six Sigma Green Belt
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Industrial Engineering
Frequently Asked Questions about Maya Ibrahim
What company does Maya Ibrahim work for?
Maya Ibrahim works for Telus Digital Ai Data Solutions
What is Maya Ibrahim's role at the current company?
Maya Ibrahim's current role is Industrial Engineer & Operations Specialist | Blending Analytical Insight with Creative Solutions.
What schools did Maya Ibrahim attend?
Maya Ibrahim attended Ryerson University, Accenture, Institute Of Industrial And Systems Engineers, Ryerson University.
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