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Bautistao2/README.md

Hi everone, my name is Osthailyd!!!

Detail-oriented data scientist with a strong academic background in data analysis. Proficient in Python , data manipulation, and machine learning. Committed to applying data-driven insights to solve business challenges.

Skills

-Microsoft Excel -Power BI -Python -Data cleaning -Exploratory Data Analysis -Data visualization -Machine Learning concepts -SQL -Git -Streamlit

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  1. Retail-Recommendation-PySpark Retail-Recommendation-PySpark Public

    This repository contains a Retail Recommendation System built with PySpark, designed to process and analyze large-scale e-commerce data from the Retailrocket Recommender System Dataset. The goal of…

  2. Mall-Customers-Segmentation Mall-Customers-Segmentation Public

    Customer segmentation is crucial for various marketing strategies, as it allows for targeted approaches based on specific customer groups, enhancing precision and effectiveness in reaching the inte…

    Jupyter Notebook 2

  3. EDA-and-predictor-for-Employee-Eligible-for-Promotion EDA-and-predictor-for-Employee-Eligible-for-Promotion Public

    After carrying out an exhaustive exploratory data analysis and identifying the factors which predict an employee's probability of promotion, the insights and recommendations are delivered to the co…

    Jupyter Notebook 1

  4. EDA-and-Predictor-for-Probability-of-Worker-termination- EDA-and-Predictor-for-Probability-of-Worker-termination- Public

    Based on employee data recorded during 16 years of activity, a company seeks to reduce turnover rate, absences, and employee dissatisfaction; and increase performance.

    Jupyter Notebook 1