Dalia Abdou Email & Phone Number

Canada

• Collaborated with cross functional teams of data scientists, ML developers and sales representatives to translate customer’s business needs into actionable insights that can drive business improvements.
• Leveraged advanced data analytics techniques to analyze client datasets' integrity, capitalizing on ability to understand customers business’ and supply chain needs to enhance forecast accuracy by 10%.
• Improved company's data visualization capabilities in internal platform, increasing client engagement time.

• Developed transformers and transformer mixins for an internal Python library using sklearn, NumPy, and Pandas. This greatly improved the library’s efficiency and scalability, thereby optimizing the performance of all.
• Led presentations to a group of 30+ employees, including the Chief Data Scientist and managers from multiple offices across North America. These sessions successfully brought everyone up to date with our team’s most.
• Eliminated a critical security vulnerability by repairing a significant bug in the logs of the secret management system. Engineered a generator function to securely retrieve these secrets and developed a custom.

• Engineered an IoT platform for real-time operation and monitoring of water quality devices, facilitating data storage in a MySQL database and reducing data retrieval time by 50%. This system utilized socket programming.
• Developed an interactive dashboard enabling remote control of IoT devices, using Tkinter for the interface, Matplotlib for data visualization, and mysql.connector for database interactions. This integration increased.

• Performed comprehensive analyses to measure contaminant levels in water from multiple sources.
• Conducted a cost-benefit analysis of the various methods used to determine the concentration of contaminants in water, leading to a more efficient allocation of resources.

Engaged with high school and CEGEP students at various events to promote engineering programs. My efforts specifically targeted young women to enhance diversity within the field of engineering.