1. WORK EXPERIENCE
 Monitoring on data collection for road furniture, Coring and
Dynamic Cone Penetrometer, Falling Weight Deflectometer,
and Trial Pits.
 Check and verified data collection from contractor for project
JKR Performance Based Contract.
 Preparing summary of data collection for reporting to Jabatan
Kerja Raya.
 Coordinate meeting with contractor regarding progress work.
GRADUATE TRAINEE (SL1M -YES) – UEM EDGENTA
EDUCATION
2011 - 2016
First class degree holder in Bachelor of Engineering.
(Hons) Civil. Involved in structure and infrastructure
design by using Esteem software during final year.
One-year experience in project management.
Hardworking person, self- starter, willing to learn a
new things and have an extremely great passion in
design
Bachelor of Eng. (Hons) Civil Engineering
 Dean’s List Award for undergraduate studies for 6 semesters in
2016,2015,2014 and 2012
 GPA 3.57
CIVIL ENGINEERING – UNIVERISITI TEKNOLOGI MARA
(UiTM)
2011-2011
SKILLS LANGUAGE
S
MS EXCEL
March 2016 - Present
July 2015 – September 2015
PRACTICAL TRAINEE - HATIMUDA SDN BHD
MS OFFICE
ABOUT ME
Kuala Lumpur
Kuala Lumpur
80
90
60
50
NURUL
CIVIL ENGINEER
NADIA
ENGLISH
John.W
illiam
s@emai
l.com
ESTEEM
AUTOCAD
MANDARIN
MALAY
 Monitoring and reporting of building works for two months.
 Check progress work for two month on construction.
 Prepraring weekly report on site.
Shah Alam
Arau, Perlis
Dr. Juraidah Ahmad
Final Year Project Supervisor,
Faculty of Civil Engineering,
University Technology Mara (UiTM) Shah Alam.
019-3887187
Ir. Sulaiman Hashim
Lecturer Faculty Civil Engineering,
University Technology Mara (UiTM) Shah Alam
016-6055686
REFERENCES
PPR 08-03-17, DESA TUN RAZAK,
CHERAS, 56000, KUALA LUMPUR.
nurulnadiabtmohdsalleh@gmail.com
0122534476
CIVIL ENGINEERING – UNIVERISITI TEKNOLOGI MARA
(UiTM)Diploma of Eng. Civil Engineering
 Dean’s List Award for undergraduate studies for 2 semesters in
2010 and 2011
 GPA 3.50
Final Year Project
40
90
50
Prediction of Flexible Pavement of Elastic Modulus Using Artificial
Neural Network
 To determine elastic modulus and surface layer thickness of flexible
pavement using Artificial Neural Network
 To compare the prediction and field data for elastic modulus and surface
layer thickness using Artificial Neural Network from KESAS Sdn Bhd.
Cadangan Membina dan Menyiapkan Asrama 8 Tingkat Untuk
Kementerian Dalam Negeri di Langkawi, Kedah.
 Proposed construct and complete 8 floor at Langkawi, Kedah with consider
wind load, life and dead load acting to the building structure.
 Design the structural component which are slab, beam, column, foundation,
retaining wall, shear wall and staircase for 8 floor.
 Design infrastructure component which are drainage, sewerage, water
supply, and earthwork