About
Highly motivated aspiring Data Scientist and Intelligent Systems Engineer with a strong academic foundation in Machine Learning, Distributed AI, and advanced databases. Eager to leverage analytical prowess and technical skills in Python, R, and SQL, coupled with hands-on experience in data architecture analysis and system maintenance in regulated environments, to drive impactful data-driven solutions.
Work
GOMYCODE
|Data Science Bootcamp Participant
Algiers, Algiers, Algeria
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Summary
Participated in an intensive Data Science Bootcamp, developing and applying machine learning algorithms and data analysis techniques to solve real-world problems.
Highlights
Developed and deployed machine learning models, including classification and regression algorithms, using Python libraries such as scikit-learn and TensorFlow.
Performed comprehensive data cleaning, transformation, and exploratory data analysis (EDA) on diverse datasets to uncover actionable insights.
Built interactive data visualization dashboards with Streamlit and Matplotlib, presenting complex findings to simulate stakeholder communication.
Utilized Git for version control and collaborated on multiple data science projects, enhancing team-based development workflows.
SAIDAL Pharmaceutical
|IT Infrastructure Intern
Algiers, Algiers, Algeria
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Summary
Analyzed enterprise database architecture and IT operations at a leading pharmaceutical company, enhancing system maintenance protocols in a regulated environment.
Highlights
Conducted in-depth observation and analysis of enterprise database architecture, identifying key components and interdependencies.
Reviewed IT operational procedures, contributing insights to enhance system maintenance practices in alignment with industry regulations.
Documented existing data flows and system configurations, providing foundational knowledge for potential infrastructure improvements.
Gained practical understanding of data governance and compliance requirements critical for pharmaceutical IT environments.
Education
École Nationale Supérieure d'Informatique (ESI)
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State Engineer's Diploma
Computer Science (Intelligent Systems and Data Specialization)
Courses
Machine Learning (ML)
Data Analysis and Data Mining
Distributed Computing and Distributed AI
SGBD and Advanced Databases
Languages
Arabic (Native)
French (Fluent)
English (C1 - IELTS Band 8.0)
Skills
Programming Languages
Python, R, SQL.
Data Science Libraries & Frameworks
NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, Tensorflow, Streamlit.
Databases
Microsoft SQL Server, MySQL.
Tools & Platforms
Jupyter, Git.