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  • Austin, TX
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  1. Natural-Language-Processing Natural-Language-Processing Public

    I filtered, cleaned, and organized tweets to create a data frame with relevant words. This data frame was analyzed for most used words, words associations, and polarity of words. Combination of the…

    R

  2. Machine-Learning Machine-Learning Public

    I analyzed the answers of the questionnaire to identify respondents’ personalities and group them into clusters. Depending on the answers according to cluster and personality I identified groups of…

    Jupyter Notebook

  3. Data-Optimisation Data-Optimisation Public

    I run the simulation of 1000 weeks of sales to predict the optimal price of the product that will help to maximize the revenue

    Jupyter Notebook

  4. SQL SQL Public

    SQL queries I use for analysis of: lead flow, churn, attributions, campaigns performance, conversion rates