Data Scientist with experience in recommendation systems, statistical analysis, data visualization, and machine learning. Also experienced as a Teaching Assistant at Concordia University and in data analysis roles using …
Data Scientist with experience in recommendation systems, statistical analysis, data visualization, and machine learning. Also experienced as a Teaching Assistant at Concordia University and in data analysis roles using Python, SQL, Tableau, Power BI, Spark, AWS, GCP, and related tools.
Developed a recommendation system for the rocket application that increased the click-through rate by 40%.
Generated job recommendations for more than 20 million blue-collar workers.
Conducted statistical analysis to determine the key factors influencing application rates, utilizing statistical analysis techniques and correlation matrices to identify features directly correlated with application creation, resulting in a 10% increase in application rates.
Technologies used: Python, Scikit Learn, Numpy, Pandas, Docker, EC2, Machine learning, LightGBM, MLFlow, HyperOpt.
Led laboratory sessions covering topics such as DC motors, modular design, and flip flops.
Demonstrated expertise in testing electronic components (resistors, capacitors, batteries, diodes) using multimeters.
Assisted students in understanding electric motor drivers, integrated circuits, and potentiometers in electronic systems.
Developed a recommendation system for the rocket application that increased the click-through rate by 40%.
Generated job recommendations for more than 20 million blue-collar workers.
Conducted statistical analysis to determine the key factors influencing application rates, utilizing statistical analysis techniques and correlation matrices to identify features directly correlated with application creation, resulting in a 10% increase in application rates.
Technologies used: Python, Scikit Learn, Numpy, Pandas, Docker, EC2, Machine learning, LightGBM, MLFlow, HyperOpt.
Created sales dashboards representing end-to-end information about leads.
Created daily reports about KPIs (Key Performance Indicators) for the company.
Analyzed data from the campaign run to understand the drop-in funnel report.
Technologies used: Numpy, Pandas, Google Data Studio, PowerBI.
Provided comprehensive instruction on the operation and management of the OpenCIM system, CNC milling stations, and CNC turning centers, ensuring students gained practical knowledge through interactive sessions.
Facilitated learning in system integration and optimization, empowering students with practical skills to streamline manufacturing processes and enhance efficiency in real-world applications.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
