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About Candidate
I’m an enthusiastic and detail-oriented Industrial & Manufacturing Engineer with a passion for solving business problems through data-driven decisions, process optimization, and automation. With over a year of experience as a Junior Process Analyst, I’ve worked closely with cross-functional teams to map workflows, automate manual processes, and drive continuous improvement in logistics and operations.
My strengths include business process analysis, requirement gathering, workflow design, and stakeholder communication. I’m skilled in tools such as Pipefy, Lucidchart (BPMN), Microsoft Excel (Advanced), Power BI, and MySQL, and I bring a structured yet creative approach to tackling challenges.
I believe the first impression is the last impression—so I always strive to deliver value from day one. Whether it’s building solutions that save time, training teams on new systems, or identifying hidden inefficiencies, I bring energy, ownership, and execution to everything I do
Salary
Nationality
Certifications
Six Sigma Yellow Belt
University System of Georgia – Coursera
→ Foundation in quality control, lean waste reduction, and process improvement.
MySQL for Data Analytics and Business Intelligence
Edureka / Coursera
→ Practical SQL skills for querying, analyzing, and visualizing business data.
Data Analysis Using Microsoft Excel
Coursera Project Network
→ Advanced Excel functions, dashboards, pivot tables – ideal for planning & reports.
Training & Workshop
Process Mapping & Automation Training
Internal Workshop – Al Sharqi Logistics
Learned to create business workflows using Lucidchart (BPMN).
Hands-on training on Pipefy and Integrately to automate manual processes.
Lean Manufacturing & Waste Reduction Workshop
NED University – Final Year Project Preparation
Practical applications of 5S, Motion Study, and Lean Layout Design.
Focused on improving productivity in manufacturing environments.
Data Analysis with Microsoft Excel (Project-Based)
Coursera Project Network
Built dashboards using PivotTables, VLOOKUP, and conditional formatting.
Applied to real-world business data for KPI analysis.
