Lara Chebibe

Data Science graduate skilled in machine learning, data analysis, predictive modeling, and data visualization. Experienced in Python, SQL, and AI techniques through academic and hands-on projects. Seeking a Junior Data Scientist role to build data-driven solutions.

Data Science & AI Internship at IDS (Integrated Digital Systems) (2026-04 – 2026-05)

240 Hours internship focused on data analysis, machine learning, and database management.

• Data Analysis & Visualization: Performed Exploratory Data Analysis (EDA), data preprocessing, and cleaning on real-world datasets. Built interactive dashboards using Power BI and Tableau to present analytical insights.
• Machine Learning & AI: Applied core fundamentals of supervised and unsupervised machine learning techniques, predictive modeling, and model evaluation methods.
• Programming & Databases: Developed data pipelines using Python, leveraging key libraries such as Pandas, NumPy, and Matplotlib within Jupyter Notebook, alongside managing structured datasets using SQL.
• Tools & Best Practices: Utilized Git and GitHub for version control and collaborative development, while ensuring model optimization and thorough project documentation.

Data Science Intern at CodeAlpha (2026-06 – Present)

• Predictive Modeling: Built machine learning models (regression & classification) using Python and Scikit-Learn.
• Data Engineering & EDA: Cleaned, preprocessed, and visualized complex datasets using Pandas and Matplotlib.
• Model Optimization: Evaluated model performance and accuracy to deliver actionable data insights.
• Version Control: Documented and managed clean source code repositories on GitHub.

Data Collection Manager at Youth Conservation Corps (YCC) (2024-08 – 2025-01)

• Data Management: Directed and monitored environmental data collection workflows throughout the 6-month program.
• Data Integrity: Ensured high accuracy and consistency of field data for reporting.
• Process Optimization: Coordinated with field teams to streamline data tracking and entry methods.

Build with AI Training Workshop at Google Developer Groups OnCampus (AOU) (2026 – 2026)

• Generative AI & Prompt Engineering: Developed a strong understanding of Generative AI principles and mastered Prompt Engineering techniques to optimize AI models.
• Practical Application: Applied Google's cutting-edge AI technologies to analyze and solve complex, real-world challenges.

Bachelor in Data Science – Lebanese University

Lebanese Baccalaureate in General Sciences