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rewan K. — Junior Data Analyst from Egypt

rewan K.

Junior Data Analyst

Egypt Less than 1 year
Open to offersNew to Platform
Languages
EnglishArabicFrench
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About

Rewan K. is an aspiring data scientist based in Alexandria, Egypt, with a solid academic background as an Artificial Intelligence fresh graduate. Rewan has gained valuable hands-on experience through internships in data science and big data analytics, showcased by roles at Carerha, Samsung, and ITI. At Carerha, Rewan conducted comprehensive data analysis, crafted dashboards, and provided data-driven insights. During a tenure at Samsung, he built data pipelines and processed over 100GB of data, utilizing expertise in Apache Spark and NoSQL databases. In the ITI internship, Rewan focused on developing machine learning models, achieving 88% accuracy using scikit-learn. His technical proficiency spans Python, TensorFlow, and data visualization tools like Tableau and Power BI. Complementing this practical experience, Rewan is pursuing a BSc in Artificial Intelligence at the Arab Academy for Science, Technology & Maritime Transport, with coursework encompassing machine learning, big data analytics, and cloud computing. Additionally, he holds certifications in AWS Cloud Foundation and machine learning. Contact him via [email protected] or LinkedIn at https://www.linkedin.com/in/rewankadsh.

Experience

  • Data Analyst Intern

    Carerha (USAID Program) · 2024 — 2025
    Performed comprehensive data analysis on large datasets utilizing Python and pandas. Created interactive dashboards to showcase data-driven insights for stakeholders. Provided actionable recommendations based on analytical discoveries.
  • Big Data Intern

    Samsung · 2024 — 2024
    Constructed data pipelines and managed version control for projects using Git. Handled over 100GB of structured and unstructured data with Apache Spark and Hive. Investigated NoSQL databases and employed MLflow for tracking model experiments.
  • Data Science Intern

    ITI · 2024 — 2024
    Developed machine learning models using scikit-learn, attaining an accuracy rate of 88%. Administered Python environments with conda and pip. Collaborated with cross-functional teams and presented weekly project updates.

Skills & Expertise

Education

  • BSc in Artificial Intelligence
    Arab Academy for Science, Technology & Maritime Transport · — — 2025

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