Amr Maraqa Email & Phone Number

Toronto, Ontario, Canada

Toronto, Ontario, Canada

• Collaborated with the back-end team to establish an end-to-end data pipeline on AWS, automating the processing of video content into various formats, i.e..mp4 to.mov, and enabling widespread content distribution and.
• Developed a robust CI/CD pipeline to seamlessly integrate updates in the source code of Machine Learning (ML) models hosted on GitHub and automate their deployment on AWS Elastic Container Service (ECS).
• Created a data pipeline that streamlines the ingestion of video content from Vimeo and YouTube and its efficient loading into S3 to be used in the development of models generating high quality speech for video dubbing.

Montreal, Quebec, Canada

• Aggregated internal data from various sources (SAP, Databricks and S3) using SQL and Spark to optimize data extraction. Collaborated with cross-functional data teams to define and map entities based on business.
• Took ownership of the creation and refinement of a Deep Learning Hierarchical Time Series (HTS) forecasting model in Python to achieve more accurate demand forecasts by 15% for engine models in the aftermarket.
• Worked with the Data Engineering team to configure Quality Assurance (QA) unit tests on Azure DevOps for continuous data governance, performing regular quality checks along the ETL pipeline and reducing downtime by 33%.
• Routinely communicated with inventory planners during UAT, tailoring Tableau dashboards to their needs and clearly reporting complex concepts with operational KPIs (safety stock, lead time, etc.) to help achieve a.

Montreal, Quebec, Canada

• Member of a capstone project team collaborating with TD Asset Management (TDAM) to develop predictive models for the S&P500 return and risk.
• Conducted market research to identify industry best practices and source 20 years of S&P500 and US macroeconomic data from various financial sources.
• Built streamlined ETL pipelines that automated the delivery of data to Azure SQL and enhanced data quality for machine learning model consumption.
• Performed predictive analytics with regression, time series (SARIMAX), and neural network (TFT, RNN) machine learning models on Azure ML.
• Developed Tableau dashboards, connected to Azure SQL for real-time data updates, to effectively present strategic insights and recommendations mitigating portfolio volatility by up to 10% to stakeholders.

Al Ain, Abu Dhabi, United Arab Emirates

- Awarded "Best Design Prize" at the annual Robot Line Following Competition - Conducted research on the UAV application of target seek and search

Al Ain, Abu Dhabi, United Arab Emirates

- Submitted the project paper to the 2021 AUA and ICSGS Academic Conference and published its abstract in the conference booklet.- Led the project team in the design of a GFET sensor- Simulated the GFET sensor with and without the presence of metal nanoparticles on the Quantumwise ATK-VNL software to test its sensitivity toward the hemagglutinin influenza.

Masters In Management Analytics, Business Analytics

Bachelor Of Science - Bs, Electrical And Electronics Engineering, 3.92/4.00

Relevant coursework: Circuits, Electronics, Electromagnetics, Digital Logic, Signals and Systems, Control, Microprocessors, Electric.

Sheikh Mohamed Bin Zayed Scholars Program, Political Economy, Leadership, Public Speaking, Critical Thinking, Persuasive Writing

- Awarded full scholarship for any graduate program offered at any NYU school - Received mentorship from former U.S. Ambassador Michael.