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Data Science Intern
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Competencies
Demonstrated experience with Python.
Demonstrated experience with SQL.
Demonstrated experience with Pandas.
Demonstrated experience with NumPy.
Demonstrated experience with Scikit-learn.
Education
Languages
Summary
Professional profile
Experience
Data Science Intern
Performed data analysis, pre-processing, and visualization on structured datasets using Python libraries including Pandas, NumPy, and Matplotlib.. Developed and evaluated machine learning models, gaining hands-on experience building AI-based applications end to end.. Applied fundamentals of Natural Language Processing (NLP) and Generative AI to support model training, testing, and validation workflows.. Collaborated on real-world data science workflows, strengthening skills in reproducible analysis and technical documentation.
Data Visualization Intern
Analyzed airline operations data using Python and Pandas to identify delay patterns, route performance, and passenger load trends.. Built interactive dashboards in Tableau and Matplotlib to visualize key performance indicators including on-time performance, cancellations, and occupancy rates.. Conducted exploratory data analysis (EDA) and translated findings into data-driven recommendations to improve operational efficiency for airlines.