 EPC Scheduling services and progress tracking. Created Civil, Structural, Piping, & Electrical schedules via drawings & planning sessions with discipline leads Coordinated scheduling efforts for 5 contractors integrating data into 1 master schedule Performed weekly schedule analysis Provided progress feedback at weekly project meetings Developed Access based Pipe Installation Progressing system to track pipe construction and quality acceptance processes.

-EPC Scheduling services and progress tracking for multiple, resource loaded, concurrent projects -Conducted interactive planning sessions, weekly schedule analysis, -Liaised with customers, project mgmt., procurement and, 3rd Party Engineering / Construction firms in capturing work packages and activities within master schedules-Planned / scheduled workflow for each project according specific needs and lead times-Provided progress feedback at weekly project meetings-Supported monthly reporting process

- Developed fully resourced and coded construction schedule for $1 Billion Coker- Infrastructure Planning/Scheduling/Progress Tracking for electrical and heavy haul road- Implemented detailed work packages to evolving schedule- Coordinated with discipline experts to assure quality deliverables- Efficiently tracked progress culminating in monthly reports - Analyzed program plan to mitigate potential program conflicts- Incorporated changes via change management process- Conducted weekly schedule reviews with senior staff- Performed as lead scheduler for power generating plant TARS

- Provided end-to-end project controls support to multi-disciplined engineering team- Analyzed schedule progress for engineering impacts to program throughput - Performed bi-monthly cost account reconciliation producing balanced labor actuals- Executed monthly earned value analysis with submissions to senior stakeholders- Coordinated w/ procurement & construction to mitigate risks via program conflicts- Developed MS Access based tools to expedite department reporting while improving data quality