Sandra Sukarieh

Angestellt, Senior Data Scientist, Prestatech GmbH

Abschluss: CS Master's, Universität des Saarlandes

Berlin, Deutschland

Über mich

I am a senior data scientist who is currently working in the field of fintech and focusing on fraud detection and deep learning models, in addition to PD models. My Master's Thesis also focused on detecting opinion spam campaigns in online rating services. Analyzing data to discover interesting patterns whether to help in business development or to find sneaking outliers is the best thing for me to do with a cup of coffee and good music. My knowledge of prediction models, classification, clustering, statistical tests, and data processing and visualization in addition to working with both Python and C++ give me the advantage to solve multiple problems with good accuracy. I am always highly enthusiastic about new challenges to try to solve and learn from. If what I know and do sounds interesting, send me an invitation to connect, and let’s talk!

Fähigkeiten und Kenntnisse

Data Science
Machine Learning
Python
Data Analysis
Anomaly Detection
Statistics
Computer Science
Programming
Forecast
Pandas
scikit-learn
Jupyter
matplotlib
Algorithm
Statistical Analysis
Data Structures
Excel
Research
Quality Assurance
Translation
Tableau
latex
Android
MySQL
PyCharm
Time complexity
Google Analytics
Linear Algebra
Optimization
Tensorflow
Neural Networks
Colab
Keras
Numpy
GitHub
Management
Git
Natural Language Processing
Team leadership
Agile Development

Werdegang

Berufserfahrung von Sandra Sukarieh

  • Bis heute 1 Jahr und 9 Monate, seit Sep. 2022

    Senior Data Scientist

    Prestatech GmbH

    - 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.

  • 1 Jahr und 11 Monate, Okt. 2020 - Aug. 2022

    Data Scientist

    Prestatech

    - 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.

  • 2 Jahre, Okt. 2018 - Sep. 2020

    Research Assistant

    CISPA Helmholtz Center for Information Security

    - 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.

  • 11 Monate, Sep. 2017 - Juli 2018

    Research Assistant

    Deutsches Forschungszentrum für Künstliche Intelligenz

    - 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.

  • 2 Jahre und 1 Monat, Feb. 2015 - Feb. 2017

    Quality Assurance Team Leader

    CloudAppers

    - 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.

  • 2 Jahre und 10 Monate, März 2014 - Dez. 2016

    Translator

    SSSR

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

Ausbildung von Sandra Sukarieh

  • 3 Jahre und 2 Monate, Apr. 2017 - Mai 2020

    Computer Science

    Universität des Saarlandes

    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).

  • 4 Jahre und 10 Monate, Okt. 2010 - Juli 2015

    Software Engineering and Information Systems

    Faculty of Informatics of Damascus University

    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.

Sprachen

  • Arabisch

    Muttersprache

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Spanisch

    Grundlagen

Interessen

Reading
Cooking
Travel
Hiking
Cinema
Music
Cycling

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