Ahmed Oraby

A diligent and driven Data Scientist with an extensive background in data analytics, machine learning, and predictive modeling, I have consistently demonstrated my ability to analyze large data sets and derive actionable insights that significantly impact business outcomes. My proficiency in statistical modeling, A/B testing, and various machine learning methodologies have been honed through hands-on work experience and a Master's degree in Data Science from RWTH Aachen, Germany.

My work portfolio ranges across several roles, with a significant focus on leveraging SQL, Python, Tableau, GCP, Docker, and Git to develop sustainable and robust data solutions. From designing comprehensive Tableau dashboards to optimizing SQL queries and implementing advanced filters for AWS QuickSetup services, my achievements reflect my dedication to problem-solving and my ability to think critically.

Some of the projects I'm most proud of can be found on my GitHub and Kaggle profiles. These projects, which include predictive risk modeling, churn prediction, and sentiment analysis, showcase my ability to utilize various machine learning algorithms, perform exploratory data analysis, and implement feature engineering for practical business applications.

Notably, my work has been recognized in various domains. My accolades include a Google Cloud Machine Learning Engineer specialization, an NLP Nanodegree from Udacity, and a 3rd place finish at the Meta hackathon in 2021. You can read more about these on my LinkedIn.

I am passionate about continuous learning and consistently update myself with the latest trends and tools in the field of Data Science. As a lifelong learner, my pursuit of knowledge is reflected in my continuous participation in competitions, hackathons, and learning platforms, such as Leetcode.

If you're looking for a motivated Data Scientist who leverages data to drive actionable insights and is always eager for new learning opportunities, feel free to reach out. I am excited to leverage my skills to foster innovation and deliver value in the realm of data science.

To see more about my work and get a glimpse of my coding style, please visit my portfolio.

1. Data Scientist at DXFACTURE in Germany, Aachen (Feb 2022 - Present):
   • Conducted correlation and regression analysis to study the impact of external temperatures on factory machinery power consumption.
   • Developed a comprehensive Tableau dashboard for SweetConnect, displaying CO2 emission and product pricing data.
2. Software Engineer at Exporto in Germany, Aachen (April 2022 - November 2022):
   • Optimized SQL queries to enhance search operations' speed and improve user experience.
   • Designed and implemented a global category search feature, improving parcel processing efficiency.
3. Software Engineer Intern at Amazon in Germany, Berlin (September 2021 - February 2022):
   • Developed advanced filters for AWS QuickSetup services to enhance customer engagement.
   • Streamlined the development process for AWS Synthetics, reducing development time by 5%.
4. Data Scientist at EJADA in Saudi Arabia, Riyadh (July 2017 - March 2020):
   • Leveraged machine learning models to detect unusual tax filing patterns, ensuring integrity in tax collection processes.
   • Developed Tableau dashboards providing insights on tax payments, influencing strategic decision-making.
   • Acted as an external resource for the data engineering team, delivering ETL packages to enhance data management and analytics.

• Master of Data Science from RWTH Aachen in Germany, Aachen.
• Bachelor of Computer Science from Alexandria University in Egypt, Alexandria.