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julielsa/README.md

👋 Hi there, I’m Julie

  • 👀 Welcome to my data analytics and programming portfolio.
  • 🌼 I'm interested in the power of information in decision-making.
  • 🌱 I’m currently deep-diving into Python libraries.
  • 📫 How you can reach me: my LinkedIn

📊 Featured Projects

SQL- Chinook Music Analysis

Analysis

  • This project analyzes data from the Chinook database, a digital media store with information on artists, albums, tracks, invoices, and customers. The objective was to evaluate employee performance, analyze customer trends, and identify potential market opportunities.
  • Description: This analysis equips stakeholders with actionable recommendations to refine marketing strategies, enhance employee performance, and target new markets effectively. The project demonstrates expertise in data manipulation, SQL querying, and strategic analysis to drive business growth.

PowerBI- Plant Co. Performance Dashboard

Analysis | PowerBI File

  • This project demonstrates the creation of a dynamic performance dashboard for a fictitious plant company, Plant Co., using PowerBI. The dashboard visualizes key business metrics such as year-over-year sales, quantities, and gross profit, empowering stakeholders to make informed, data-driven decisions.
  • Description: The PowerBI dashboard empowers Plant Co. to drive growth by transforming raw data into meaningful insights. Through interactive features and comprehensive analysis, it enhances the company’s ability to strategize and adapt to market needs efficiently.

Python- Data Role Trend Analysis

Analysis

  • This project provides an in-depth exploration of the U.S. data job market, with a focus on data analyst roles. Using data from Luke Barousse's Python course, I analyzed job titles, salaries, locations, and skills to answer critical questions about demand, salary trends, and optimal skillsets for data analysts.
  • Description: This analysis reinforces the importance of aligning skills with industry demand while continuously adapting to emerging trends. By mastering versatile tools and staying informed, data analysts can maximize career growth and earning potential. Focused on ensuring data integrity and relevance to the U.S. market and used Python, Pandas, Matplotlib, and Seaborn to create insightful visualizations.

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  1. SQL-chinook-music-data-analysis SQL-chinook-music-data-analysis Public

    Analysis of the Chinook database which represents a digital media store, including tables for artists, albums, media tracks, invoices, and customers using SQL.

  2. Python-data-roles-analysis Python-data-roles-analysis Public

    In this project, I analyzed the data job market for data analyst roles to identify top-paying and in-demand skills using Python libraries.

    Jupyter Notebook

  3. PowerBI-PlantCo-performance-report PowerBI-PlantCo-performance-report Public

    This case study presents the creation of a dynamic performance dashboard using PowerBI for a fictitious plant company, Plant Co.

  4. Python-scraping-data-web Python-scraping-data-web Public

    In this project, I scrape table data from a Wiki page and convert it to a csv file using Python.

    Jupyter Notebook

  5. Tableau-World-Happiness-Report-Dashboard Tableau-World-Happiness-Report-Dashboard Public

    This dashboard uses averages from the World Happiness Report from 2016 through 2019.

  6. SQL SQL Public

    SQL Portfolio