Lead Data Engineer

Ford Motor Company | March 2021 - Ongoing

• Lead the development of data engineering pipelines for the Strategy and Enterprise Analytics, and Manufacturing Analytics teams.
• Lead the database and pipeline design, implementation, and support of two high impact data products.
• Collaborate with national and international teams from various domains.
• Increase the performance of existing pipelines by analyzing and improving queries, architectures, and algorithms.
• Speed up the execution time of a production pipeline by 400%.
• Proven to be a valuable team member by helping new recruits getting up to speed with existing projects and technologies.
• Help team members with technology-related inquiries.
• Day to day technologies: (Apache Spark, Python, HDFS, Hive, Alteryx, Oozie)

Lead Data Scientist

Cognitus/Intelligencia | Dec 2017 - Feb 2021

• Assist companies, including international clients, teams, and governments, to adopt big data solutions by consulting the design and deployment of big data ecosystems for storage, streaming, processing, and visualization. (Hadoop ecosystem on-prem and cloud products)
• Improve the speed and efficiency of legacy solutions by analyzing client requirements, designing, and building big data architectures and data processing pipelines to process large amounts of raw data in real-time and batch modes using SQL, Apache Spark, and Hive.
• Design architecture and lead development of a distributed, scalable, and fully extensible smart surveillance solution by coordinating with the development team and stakeholders to drive execution. (Python, Postgres, RabbitMQ, Docker)
• Spearhead the development of 4 machine learning solutions in computer vision and natural language processing domains. (Python, Docker)
• Train 30+ customers on enterprise data science including courses on machine learning (scikit-learn and Spark ML), deep learning (Keras), distributed data processing (pyspark), and programming (JAVA and Python) to enable companies to build their own data science teams.

Doctoral Student

VEDECOM | Feb 2015 - Nov 2017

• Researched transportation multimodality for smart cities and organized and integrated data by implementing 3 software solutions in Python and JAVA.
• Increased ability to combine heterogeneous transportation data sources by proposing 3 integration solutions on schema level, instance level, and service level.
• Improved multimodal trip planning by extending the Connection Scan Algorithm to support non-scheduled services.
• Published 8 articles in international conferences and journals by utilizing excellent communication and writing skills.

Research and Development Intern

3iConsulting | Feb 2014 - Aug 2014

• Researched integration of supply chain management systems and business process management solutions.
• Improved scalability and efficiency of legacy solutions by implementing research on supply chain and business process management solutions to adopt a service-oriented architecture.

Ph.D. in Computer Science

University of Paris Saclay | France

Masters in Data and Information Systems

The Lebanese University - Faculty of Sciences | Lebanon

Bachelor of Science (BS) in Computer Science

The Lebanese University - Faculty of Sciences | Lebanon