Jessica Becker

San Antonio, Texas, United States Contact Info
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About

About Me:

Hi, I'm Jessica, a dedicated professional with 7 years of experience in…

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Experience & Education

  • Methodist Healthcare Ministries of South Texas, Inc.

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  • San Antonio Traffic Accidents

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    https://github.com/jessicalbecker/SATrafficAccidents
    Overview:
    In a comprehensive study aimed at understanding the dynamics of traffic accidents in San Antonio, I utilized Jupyter Notebook alongside a suite of powerful Python packages to perform a detailed analysis. The objective was to extract meaningful insights that could inform traffic management strategies and enhance public safety.

    Data Collection:
    The analysis began with the collection of a national dataset encompassing…

    https://github.com/jessicalbecker/SATrafficAccidents
    Overview:
    In a comprehensive study aimed at understanding the dynamics of traffic accidents in San Antonio, I utilized Jupyter Notebook alongside a suite of powerful Python packages to perform a detailed analysis. The objective was to extract meaningful insights that could inform traffic management strategies and enhance public safety.

    Data Collection:
    The analysis began with the collection of a national dataset encompassing San Antonio traffic accidents. Leveraging Pandas, a Python data manipulation library, I curated, cleaned, and structured the data for in-depth examination.

    Exploratory Data Analysis (EDA):
    Utilizing Matplotlib and Seaborn for visualization, I conducted an exploratory data analysis to uncover patterns, trends, and anomalies within the accident data. Visualizations such as heatmaps, time series plots, and geographical representations were employed to provide a comprehensive understanding of the dataset.

    Statistical Analysis:
    The analysis delved into statistical measures using Statsmodels to identify correlations, significance levels, and potential factors contributing to accidents. Descriptive statistics and hypothesis testing were employed to extract actionable insights from the data.

    Data Storytelling:
    Using the power of Jupyter Notebook, the analysis was presented in a narrative format, combining code cells with Markdown to create a cohesive data story. This not only enhances the interpretability of the analysis but also facilitates collaboration and knowledge sharing.

    Key Findings:
    The analysis revealed critical insights into the patterns and contributing factors of San Antonio traffic accidents. These findings can serve as a foundation for targeted interventions and policy decisions to enhance road safety.

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