Aisha Khalil

Data Analyst · Health & Data Focus

Aisha Khalil

Turning raw, multi-source data into clean datasets, statistical summaries, and visual reporting — with an eye toward health-data analytics. IBM Data Science Professional Certificate holder with a B.A. in Information Technology (Data Science) and a Health Administration minor from Rutgers.

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3Projects
IBM Data ScienceCertification
Rutgers NB ’26Graduated

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SourcesWrangleAnalyzeDashboard

SpaceX Launch Data Pipeline & Landing Prediction

Multi-source ETL and landing-outcome prediction for Falcon 9 launches

An idempotent data pipeline that collects, transforms, and analyzes Falcon 9 launch data from three independent sources, then feeds an analyst dashboard with dynamic visualizations and a landing-outcome classifier.

  • Consolidated launch records from the SpaceX REST API, Wikipedia scraping, and a SQL database into one standardized dataset of 180+ launches across 10+ validated fields
  • Balanced the training set with SMOTE before building an ETL pipeline (collection → wrangling → EDA/SQL → ML → dashboard), with Supabase as the storage layer and Plotly/Streamlit for the analyst-facing dashboard
  • Trained a landing-outcome classifier and surfaced launch-site geospatial patterns with Folium, translating results into trend summaries for reporting
PythonSQLREST APIsSQLiteSupabasePlotlyStreamlit
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