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  • Passionate about delivering data-driven business outcomes and making the world run with evidences that deliver results.

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  1. Predicting-prescriber-induced-ovedoses Predicting-prescriber-induced-ovedoses Public

    The objective of this capestone is to identify types of prescribers that are a high-risk for opioid related fatalities across the country and predict most influential opioids leading to opioid rela…

    Jupyter Notebook 3 1

  2. DC-Crime-Prediction DC-Crime-Prediction Public

    Contrary to the general belief that crimes happen at night or dark, in the nations capital most offenses or crimes happen during the evening.The Lab @ DC Consulting Project

    Jupyter Notebook 4 17

  3. Wine_review_2018 Wine_review_2018 Public

    There's not a significant correlation between the cost of wine and its rating (because 0.477 == moderate relationship (usually 0.5 ~ 1.0 == strong relationship)), namely theres an average $1.24 inc…

    Jupyter Notebook 1

  4. West-Nile-Virus-Project West-Nile-Virus-Project Public

    Determined which species of mosquito are most common, and which are most likely to carry WNV. Made dummies to reflect whether trap data corresponded to one of the chief carrier mosquitos, and wheth…

    Jupyter Notebook 1

  5. Community_Projects Community_Projects Public

    Ames Housing price Prediction, SAT_ACT statistical analysis,Reddit engagement using natural Language processing TF-IDF, Titanic survival predictions

    Jupyter Notebook 3 1