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Sandra S. — Junior Data Scientist from Egypt

Sandra S.

Junior Data Scientist

Egypt 1-2 years
Open to offersNew to Platform
Languages
EnglishArabicFrenchTurkish
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About

Sandra S. is an accomplished data scientist, presently collaborating with the Digital Egypt Pioneers Initiative in Egypt, where she is instrumental in advancing AI-driven projects that uplift data processing efficiency by 25%. She leverages Python, SQL, and machine learning models to hone predictive analytics, enhancing business forecast accuracy by 15%. Sandra's keen analytical skills were honed during her data science internship at Code Alpha, where she specialized in data cleaning and visualization using Pandas and Scikit-learn. She developed the AI-powered Student Sphere platform and Clinico, a healthcare app built with React Native and Firebase, showcasing her prowess in creating engaging user experiences. Sandra is pursuing a B.Sc. in Computer Science and Artificial Intelligence at Pharos University in Alexandria, with a strong academic foundation in AI and data science, reflected by her first-year excellence in advanced programming and data structures.

Experience

  • Data Scientist

    Digital Egypt Pioneers Initiative (DEPI) · 2024 — Present
    Engaged in a comprehensive training program crafted by IBM, concentrating on AI and Data Science. Employed various skills and tools to assist businesses in extracting value from their data. Analyzed data to uncover performance drivers and pinpoint revenue opportunities while enhancing operational efficiency. Applied advanced analytics to improve customer experience and extract vital business insights. Developed and implemented 3 AI-driven projects focused on optimizing data processing efficiency. Built machine learning models for predictive analytics, increasing accuracy for business forecasts. Utilized SQL for managing databases and conducting large-scale data retrieval, enhancing query performance.

  • Data Science Intern

    Code Alpha · 2024 — Present
    Performed data cleaning, preprocessing, and visualization on real-world datasets to extract valuable insights. Created machine learning models aimed at predictive analytics, achieving improved classification accuracy. Utilized technologies including Python, Pandas, NumPy, and Scikit-learn for data analysis and model development. Collaborated in a team to develop AI-driven solutions, emphasizing automation and efficiency within data workflows. Generated dashboards and reports to effectively communicate insights and inform decision-making processes.

  • Certified Candidate

    HCCDA - Tech Essentials Certification Examination · 2024 — Present
    Successfully completed the HCCDA Tech Essentials Certification Examination, demonstrating knowledge in core IT and networking subjects. Achieved proficiency in hardware, software, networking, cybersecurity fundamentals, and cloud computing technologies. Developed skills in problem-solving and troubleshooting for diagnosing technical issues and enhancing system performance, validating technical expertise for IT infrastructure management.

  • Technical Report Competitor

    Sea Perch ROV Competition · 2021 — Present
    Contributed to a collaborative team that ranked 2nd out of 50 teams in the MENA region for a technical report on ROVs. Engaged in the design and optimization of underwater robotic systems for practical applications, enhancing system efficiency.

  • Youth Leader

    Mouvement Eucharistique des Jeunes (MEJ) · 2020 — Present
    Organized and led educational workshops focused on leadership and personal development for youth. Created mentorship programs for children and coordinated large-scale events, positively impacting over 100 participants.