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meljoy1099/README.md

Hi there! I'm Melody! ๐Ÿ‘‹

I'm a Data Scientist and Machine Learning Engineer with a background in quality project management in the chemical industry and a recent graduate of Flatiron School. My experience in managing laboratories, conducting statistical analysis, and implementing machine learning models has given me the skills and confidence to tackle any challenge.

I am passionate about staying up-to-date with the latest statistical models and utilizing data visualization to effectively communicate insights. I believe that my background in chemistry gives me a unique perspective in the field of data science and I am eager to apply my knowledge and experience to drive decision-making and make an impact. I believe that data will play a crucial role in shaping the future and I am excited to be a part of that transformation.

  • ๐Ÿ”ญ Iโ€™m currently working on learning Power BI
  • ๐ŸŒฑ Iโ€™m currently growing my Tableau skills
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on data science and machine learning projects that have a positive environmental impact
  • ๐Ÿ’ฌ Ask me about why sharks are not the horrible monsters they have been made out to be
  • ๐ŸŒ‡ San Antonio based
  • ๐ŸŒŠ Goal: Scuba dive on every continent (maybe just visit Antarctica โ›„ )

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  1. fantasy-football-draft-analysis fantasy-football-draft-analysis Public

    A data scientist's guide to optimizing the 2022 fantasy football draft by utilizing an ARIMAX time series model to forecast fantasy points

    Jupyter Notebook

  2. housing-price-forecast-time-series-modeling housing-price-forecast-time-series-modeling Public

    Forked from learn-co-curriculum/dsc-phase-4-choosing-a-dataset

    A Time Series Analysis using SARIMA to forecast house prices in the San Antonio metropolitan area. We will forecast 3 - 5 years into the future to recommend the top zip codes to invest in.

    Jupyter Notebook 1

  3. waterwell-status-prediction waterwell-status-prediction Public

    Predicting the functionality of waterpoints in Tanzania to help solve their water crisis. Modeling techniques include Logistic Regression, K Nearest Neighbors, Decision Trees, Random Forest, and XGโ€ฆ

    Jupyter Notebook 1 1

  4. real-estate-analysis-p2 real-estate-analysis-p2 Public

    Forked from learn-co-curriculum/dsc-phase-2-project-v2-3

    A multiple linear regression analysis of housing prices in King County, WA

    Jupyter Notebook

  5. Movie-Analysis-P1 Movie-Analysis-P1 Public

    Forked from learn-co-curriculum/dsc-project-template

    An in-depth analysis of features that make movies successful

    Jupyter Notebook