Applied Data Science Capstone – SpaceX Launch Analysis
From May 2025 to July 2025, I completed a 5-week, 45-hour capstone project for the IBM Data Science Professional Certificate as part of my B.S. in Computer Science from MSU Denver. This project analyzed SpaceX launch outcomes, building a full data science pipeline to predict mission success using Python, machine learning, and interactive dashboards. 👉 View IBM Data Science Specialization Certificate 👉 View GitHub Repository 🔍 Project Highlights Designed a Python-based data science pipeline across five weeks, integrating SpaceX REST API and web scraping. Built interactive dashboards with Plotly Dash and Folium for launch site analysis. Achieved >90% accuracy in predicting launch outcomes using machine learning classifiers. Delivered a technical presentation summarizing methodology and insights. 📦 My Role: Data Scientist Pipeline Development: Built and executed a data science workflow, from data collection to model deployment. Data Analysis: Performed web scraping, data wrangling, and exploratory analysis with Pandas and SQL. Visualization: Created interactive dashboards using Plotly Dash and Folium maps. Modeling: Developed and tuned machine learning classifiers (Logistic Regression, Decision Trees). Presentation: Authored a technical report and presentation for Coursera evaluation. This role strengthened my skills in data science, machine learning, and data visualization. ...