حسام المحاسنة

Associate lecturer في Hamdan bin Mohammed Smart University

• الإمارات العربية المتحدة
• أشغل هذه الوظيفة منذ سبتمبر 2019

Scientist

• أشغل هذه الوظيفة منذ يناير 2013

Support product, sales, and leadership and marketing teams with insights gained from analyzing
company data. Using large data sets to find opportunities for product and process optimization and
using models to test the effectiveness of different courses of action. Strong experience using a
variety of data mining/data analysis methods, using a variety of data tools, building and
implementing models, using/creating algorithms and creating/running simulations.
* Work with stakeholders throughout the organization to identify opportunities for leveraging
company data to drive business solutions.
* Mine and analyze data from company databases to drive optimization and improvement of
product development, marketing techniques and business strategies.
* Assess the effectiveness and accuracy of new data sources and data gathering techniques.
* Develop custom data models and algorithms to apply to data sets.
* Use predictive modeling to increase and optimize customer experiences, revenue
generation, ad targeting and other business outcomes.
* Develop business related testing framework and test model quality.
* Coordinate with different functional teams to implement models and monitor outcomes.
* Develop processes and tools to monitor and analyze model performance and data accuracy.

Technical Advisor في Surface Mobility Consultant LLC

• الإمارات العربية المتحدة
• يونيو 2017 إلى مايو 2018

Futuristic multi-modal transportation command and control center which monitors and controls all
of Dubai's mass transit, including the Dubai Metro, Dubai Tram, public buses, taxis and marine
transit, and traffic control systems all under one roof, and also supports the requisites of hosting
Dubai Expo 2020
* I was part of a team appointed by the Roads and Transportation Authority (RTA-Dubai) as
a Technical advisor to provide intelligent transportation system consultation at the
Enterprise Command and Control Centre (EC3), the cutting-edge transportation command
and control center for controlling traffic flow and providing on-ground support for public
transportation modules.
* The course of work involved handling traffic and transportation data collection at large
scales and analyzing traffic and transport data using machine learning and statistical analysis
techniques for transportation, in addition to flow planning and forecasting.
* The daily work performed included supervising in-house and on-ground operation teams
during events and incidents, daily operation management, work schedule planning and work
prioritization.
* The engagement required collaboration with other traffic and transportation agencies
including TRA and traffic police and coordination with transportation emergency and crisis
teams during events and high priority incidents.

Researcher

• يونيو 2011 إلى أبريل 2017

Advised by: Prof. Nidal Kamel
Machine Learning

Teaching assistant

• ماليزيا
• يونيو 2011 إلى أبريل 2017

adviser

• يونيو 2014 إلى أبريل 2017

for different undergraduate final year projects- Universiti Teknologi PETRONAS,
Malaysia