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riyouuyt/README.md

πŸ‘‹ Hey there! Welcome to my Data Scientist Playground! πŸ‘¨β€πŸ’»πŸ”¬πŸ“Š

Hi there, I'm Rio πŸ§‘πŸ»

Public administration college student with additonal skills on data science, aiming to blend governance and analytics. Aspiring to leverage data-driven insights for policy formulation and implementation. fostering transparency and efficiency. Committed to developing systems that enhance public services through informed decision-making, ultimately contributing to a more responsive and accountable government.

Visitor Count

Languages and Tools:

mariadb mssql mysql oracle pandas postgresql python pytorch scikit_learn seaborn tensorflow


Profile Details


Course Platform Course Information Project
DQLab Course Completed various DQLab courses on data science and analysis. Machine learning with Python Building Recommender System πŸ€–
Data Analysis for B2B Retail Customer Analytics Report πŸ“Š
Data Science in Marketing Customer Segmentation πŸ‘¨β€πŸ‘©β€πŸ‘§β€πŸ‘¦
Rakamin Academy Completed courses on Rakamin and worked on projects. Predict Clicked Ads - Customer Classification using Machine Learning πŸ‘†
Investigate Hotel Business using Data Visualization πŸ“‰
Analyzing eCommerce Business Performance Using SQL πŸ’³

Pinned

  1. Analyzing-eCommerce-Business-Performance-Using-SQL Analyzing-eCommerce-Business-Performance-Using-SQL Public

    project that delves into the eCommerce domain to assess key business metrics: customer growth, product quality, and payment quality methods.

  2. DQlab-Course DQlab-Course Public

    This Repository track on how i overcome my journey learning and practicing Data Analyst/Science with DQlab

    Jupyter Notebook

  3. Investigate-Hotel-Business-using-Data-Visualization Investigate-Hotel-Business-using-Data-Visualization Public

    Explore hospitality data, visualizing customer behavior in hotel reservations and its impact on cancellations for strategic insights.

    Jupyter Notebook

  4. Predict-Clicked-Ads-Customer-Classification-by-using-Machine-Learning Predict-Clicked-Ads-Customer-Classification-by-using-Machine-Learning Public template

    "In This Project, we're helping a company gauge ad effectiveness. By analyzing historical data, we're building a machine learning model to optimize marketing targeting and boost ad clicks. πŸš€ #Machi…

    Jupyter Notebook

  5. riyouuyt riyouuyt Public

    this for my github profile, feel free to know me better