IY

ibrahim youssef

Data Scientist/ML Engineer at Advanced Computer Technologies

Zaher, Cairo, Egypt

Work Experience

  • Data Scientist/ML Engineer

    Advanced Computer Technologies

    Mar 2023 - Present -2 yrs, 4 months

    Egypt

    • Job Details:Automated the reservation process from Synxis to Oracle Opera PMS at Sheraton Miramar Resort El Gouna, increasing operational efficiency by 50%. Integrated Oracle Opera PMS with the OHIP API platform to configure the Opera Cloud solution, enabling scalability for deployment across the Accor group hotel chain. Developed a barcode entry system handling multiple barcode types to streamline Micros Simphony POS system operations, saving 15 seconds per order item using C# and .NET framework. Automated Oracle Opera PMS configurations using Python and Selenium, reducing manual setup time by 85%. Created 'Finbot,' a finance chatbot leveraging Java Spring Boot, Llama2, and Redis-stack, improving financial query handling accuracy by 15%. Built a chatbot prototype using Python Streamlit and Llama2 to demonstrate rapid deployment capabilities for conversational AI solutions. Trained and mentored 4+ data science interns, improving team productivity and knowledge sharing. Modified pavement crack detection models using Keras and Python, achieving a 7% improvement in detection accuracy.
  • Data Scientist

    Playform.io

    Jun 2021 - Feb 2023 -1 yr, 8 months

    • Job Details:Optimized social media campaigns, leveraging Python, NumPy, Pandas, Scikit-learn, and SQL, resulting in a 100% increase in weekly revenue. Enhanced marketing funnel performance, achieving a 15% increase in conversion rates through in-depth analysis using Mixpanel, Python, and Pandas. Conducted crypto blockchain anomaly analysis, improving detection system efficiency by 5% using SQL and Streamlit. Developed and maintained the main site’s data dashboard, delivering real-time insights to stakeholders and reducing reporting delays by 1 hour using SQL and Streamlit. Analyzed North Star metrics and correlated them with other business metrics, driving a 15% improvement in decision-making accuracy using machine learning models. Forecasted sales trends, improving forecasting accuracy by 10%, enabling better resource planning using Python. Performed initial data analysis and discovery of the Playform.io data, identifying actionable insights that contributed to a 20% improvement in operational efficiency using Python Pandas and Excel.
  • Education

    • Bachelor's Degree in Aquaculture Science

      Suez Canal University (SCU)

      Jan 2015 - Jan 2019 - 4 yr

    Skills

    • Python
    • SQL
    • Pandas
    • NumPy
    • Scikit-learn
    • Computer Vision
    • Computer Science
    • NLP
    • Research
    • Information Technology (IT)
    View More

    Languages

    • Arabic

      Fluent
    • English

      Fluent
    Share this Profile