Hussein Shatnawi
Analyst @ Con Edison | Master’s in Business Analytics | Mechanical Engineer| SQL| Python | Power BI | Tableau | JIRA
- Role
- Analyst - Gas Engineering Department at Con Edison
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Hussein Shatnawi
I’m a data-driven professional with 10+ years of engineering experience in the energy and utilities sector and advanced expertise in analytics, forecasting, and process automation. Currently working as an Analyst at Con Edison, I develop data models, automate reporting systems, and forecast pipeline mapping workloads to support strategic planning and regulatory compliance.With a Master’s degree in Business Analytics and a foundation in mechanical engineering, I bridge the gap between operations and data science. I’ve led forecasting initiatives using time-series models, optimized workflows using Power BI, SQL, and Python.Whether improving backlog metrics, winning hackathons, or driving digital transformation, I’m passionate about leveraging analytics to deliver actionable insights and shape smarter energy infrastructure.Let’s connect if you’re interested in data forecasting, clean energy, or innovative solutions in regulated industries.
Experience
Analyst - Gas Engineering Department
Jun 2024 — Present · New York, NY, US
Automated gas project reports using Excel (Macros and Pivot Tables), assisting 56 designers managed by 4 engineering supervisors and 5 contractors. Reduced the mapping backlog from 87 to 29 miles in 6 months, a first for Con Edison.• Gathered gas constructions and GIS data from +4 sources with +600K records to engineer ad hoc reports using Power Query and Excel (Lookup, Index, Match functions), supporting executives’ decision-making process.• Forecasted gas pipeline mapping needs using a time-series model and seasonality trends to reduce backlog and support anticipated NYC compliance by targeting a sub-60-day mapping duration.• Implemented Power Automate, MS Forms, SharePoint, and MS Lists to replace the legacy MS Access QA system, reducing QA time and increasing mapping QA to +80%, while ensuring disaster recovery and business continuity plans.• Leveraged Power BI and SQL Server to create automated reports, eliminating the 2-hour weekly manual update process with auto-refreshed reports.
Education
Jordan University of Science and Technology
Bachelor's degree, Mechanical Engineering
2009
East Texas A&M University
Master's degree, Business Analytics
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