Sandra Sukarieh

- Projects planning. - Team leading. - Risk reviewing. - Fraud and Anomaly Detection models. - Text analysis with neural networks and Regex. - Geographical data analysis and visualization - Clustering. - PD models. - Time series forecasting. - End-to-end building and deploying of ML models. - Variety of pure software engineering projects developed in Python. - Pycharm, Git, Docker, SQL Server, and Azure ML. - OpenAPI Specification and documentation. - Unit testing. - Data analysis and visualization.

- Fraud Detection models. - PD models. - Time Series Forecasting. - Variety of pure software engineering projects developed in Python. - Working with Pycharm, Git, Docker, SQL Server, and Azure ML. - OpenAPI Specification. - Implementation of unit testing. - Data analysis and visualization.

- Detecting outliers as individual strange points or unexpected patterns co-occurrences. - Pattern mining for both simple and complex patterns (uni/multivariate). - Applying both greedy and dynamic programming approaches for data covering. - Applying different statistical tests to check the accuracy of the innovated scores. - Optimizing performance to deal with huge real data sets. - Implementation with C++, Gnuplot, and JSON.

- Developed an improved spellchecker combining state of the art handwriting recognition and machine learning approaches. - Real-time data processing on the screen while writing and performing complex gestures and annotations. - Simultaneous training for the spell checking and gesture recognition models. - Implementation with Java, XML, Image Compression, and JSON.

- In charge of the QA team responsible for testing Android/iOS mobile applications and websites. - Published multiple apps to the App Store/Google Play while being heavily involved in planning each product development lifecycle, extracting requirements, and creating agile sprints. - Implemented multiple software testing approaches (Interface, Functional, Unit, API, Acceptance, Install, Usability, Automated) with writing test cases. - Handled the communication with the clients and supported users.

In this role, I worked on translating MIT Algorithms/ Mathematics video courses into Arabic and managing the subtitles of the resulting lectures.

Overall Grade 1.5 Courses: Data Analysis, Machine Learning, Data Mining&Information Retrieval, AI, and Software Engineering. Master's thesis: "Detecting Opinion Spam Campaigns in Online Rating Services" with an application on Amazon's data sets(details in Portfolio).

In my Bachelor's, I was specialized in the field of "Software Engineering and Information Systems" in addition to multiple Programming courses, Math and Statistics, Algorithms and Data Structures, and Databases.