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Work experience

Sep 2025 — Present · College Station, TX

Aggie Data Science Club

Projects Officer

Led data science projects, including a two-stage model that lifted recall from 48% to 76% for at-risk pilot-training sequences.

Machine LearningForecastingNetwork Analysis

Highlights

  1. 01

    Trained a two-stage SMOTENC + Bayesian-tuned gradient-boosting ensemble, lifting recall 48% to 76% for at-risk pilot-training sequences.

  2. 02

    Developed a stacked TensorFlow heat-index forecasting ensemble, reaching 0.893 R-squared, 5.67 degrees Fahrenheit RMSE, and 0.921 F1 across 4 candidate model architectures.

  3. 03

    Implemented a Python/Streamlit BTS airport-network platform using Leiden community detection and hub/bridge scoring, cutting simulated network volatility approximately 72%.