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Achievement: YOLOAchievement: Pull Shark

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cwtravisyip/README.md

Hi there 👋

☺️ I'm Travis, a data scientist working to optimise airline operation and provide data solutions that enable data-driven decision-making. As a recent Geographic Data Science graduate, I have experience handling geospatial data and cloud computing for big data analysis. I also developed extensive programmes to collect data through connections to public AIPs and weeb scraping.

🌱 While coding in Python that is executed in Jupyter Notebook has been the primary method I use to conduct my analyses, I am now focusing on writing more structured, programmatic code to improve collaboration and code reusability.

🔭 I'm currently working on the exploration of the shipping activities in the Danish Water Automatic Identification System data (repository). I am also picking up the skill to implement programmes through cloud computing on GCP in addition to other ad hoc analysis I conduct mainly on the operation of airports.

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  1. LSE_GY485_UK_Food_Desert_Spec LSE_GY485_UK_Food_Desert_Spec Public

    Exploration of supermarket locations and methodology to assess food access in England

    Jupyter Notebook

  2. LSE_ST449_2324_GroupProject LSE_ST449_2324_GroupProject Public

    Group project on flight rescheduling problem using AI approaches

    Jupyter Notebook

  3. danish_ship_traffic_eda danish_ship_traffic_eda Public

    Exploration of Danish AIS data

    Python

  4. LHR_ops_data LHR_ops_data Public

    Data collection and processing for LHR flight schedule data of the preceding data

    Jupyter Notebook

  5. unsd_global_database unsd_global_database Public

    Python scripts to extract and manipulate SDG data through UN's API system

    Jupyter Notebook 1

  6. USDA_food_desert USDA_food_desert Public

    The data pipeline for the building a predictive model, identifying food deserts in the US based on ACS-5 social demographic data

    Jupyter Notebook