Data Research Analyst - Center for Excellence | Texas A&M University:

• Captured patterns and trends within large datasets by applying Python for data wrangling, data profiling, EDA, data transformation, data cleaning, and feature engineering. Ensured the quality of large datasets ~ 2 M records.


• Determined areas for improvement in traffic operations by conducting in-depth statistical analysis using Python, uncovered accident hotspots, and optimized traffic officer deployment to reduce road accidents by 15%.


• Achieved +80% prediction accuracy for Regression, ARIMA, and Exponential Smoothing models by utilizing SQL, Python & Excel (Power Query, VBA & Macros) to address missing data, data format, outliers, and duplicates issues.


• Reduced the time required to tell the data story from 3 hours to 10 minutes using Tableau dashboards.


• Boosted class performance by 18% through coaching and monitoring 50 students in implementing Python to create ETL automated pipelines for large datasets containing +200 K records and visualizing the results via MS Power BI.


• Prioritized tasks for an 8-person development team through cross-functional collaboration with stakeholders. Gathered requirements, use cases, user stories, and project objectives to ensure effective project planning and execution.


• Helped our client plan a strategy to expand their business and optimize their profits by performing prompt engineering on AI tools, gathered data on 1000 incubators and accelerators.


• Harvested articles for sentiment analysis using Python (Beautifulsoup). Automated scrapping of 200 sub-links.

Operation Analyst Engineer - Industrial Complex | Jordan Phosphate Mines Company:

• Engineered ad hoc data marts and optimized SQL queries to integrate data from SCADA systems, Preventive Maintenance, and Operation Departments, to monitor equipment performance. Achieved a remarkable 22% reduction in downtime.


• Generated purchase order waves, by utilizing inventory KPIs, time-series data, Power BI, data marts (SSMS), ABC Analysis, and XYZ Analysis. Forecasted spare parts requirements and reduced shipping costs by 9%.


• Performed cost analysis in MS Excel (Pivot Table, VLOOKUP, Charts) and analyzed tender bids averaging up to $500,000 per bid to decrease project costs by 11% and improve profitability.


• Minimized the project review cycle times by 30%, and accelerated decision-making, by facilitating cross-functional collaboration while delivering data-driven insights (MS Power BI) to a panel of directors.


• Inspected and verified bearings and rotor clearances of the Utility's steam turbine (AEG-KANIS VE40 model, 22 MW, 7500 RPM), resulting in a 10% reduction in vibration levels.

Maintenance Engineer - Industrial Complex | Jordan Phosphate Mines Company:

• Directed daily purchase orders up to $1M via Delta ERP for seamless operation of three production units, performing Inventory Management and ensuring a two-year supply of essential spare parts was available.


• Led a 10-person maintenance team, optimizing process efficiency to fulfill 18 daily orders.


• Teamed with 12+ Siemens stakeholders to optimize power generation capacity by 400% at the. Replaced two electric turbo-generators (22 MW each) along with their PLCs, sensors, HMIs, and Jacking Oil system.


• Collaborated with Siemens's expert on a major overhaul project of a Steam Turbine (AEG-KANIS G16 model, 4.5 MW, 13999 RPM) to enhance performance. Extended the lifespan by five years.


• Executed inspection and maintenance procedures under Siemens's virtual supervision, returned the 22 MW turbo-generator to the service at the Utility plant.


• Conducted a comprehensive inspection on the Emergency Stop Valve (Self-Operated, medium size) and its Pilot Valve in the Steam Turbine System (G16, 4.5 MW, 13999 RPM), ensuring 100% active self-operation and automated control on the ESV.


• Replaced the repair kit and overhauled the Speed Governor (Centrifugal Flyball with electric motor) on the steam turbine system (VE 40, 7500 RPM, 23 MW), resulting in a cost savings of $100,000 compared to purchasing a new unit.


• Partnered with Cleaver Brookes, Tulsa, OK in 2016 to perform commissioning tests on the boiler's economizers (100-ton capacity), to ensure the technical specifications and process requirements.


• Engaged with the warehouse department to optimize operations and conditions for diverse material categories, including chemicals, flammable goods, and temperature-controlled items.


• Ensured the quality and compliance of the spare parts by conducting technical tests and overseeing the goods' receipt.


• Tracked purchase orders and materials received while closely coordinating with the warehouse department to maintain spare parts availability as required.