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Achievement: Pull SharkAchievement: Quickdraw

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andrealopezp/README.md

✨ Welcome to my profile, I'm Andrea! ✨

✍🏻 About Me

  • 👩🏻‍🎓🚀 Aspiring Data Analyst with a passion for Data Science and Machine Learning.
  • 💼 Currently looking for opportunities to apply data-driven solutions and insights.

💻 Tech Stack

  • Programming Languages: Python, SQL
  • Data Analysis: Pandas, NumPy, Scikit-Learn, IBM Cognos Analytics, Microsoft Excel
  • Data Visualization: Matplotlib, Seaborn, Tableau, Power BI, IBM Cognos Analytics, Microsoft Excel
  • Machine Learning: TensorFlow, Keras, IBM Watson Studio
  • Databases: MySQL, PostgreSQL
  • Tools: Git, Docker, Jupyter Notebooks

🌐 Connect with Me

Feel free to connect with me. 😊

Gmail Badge LinkedIn Badge Tableau

📂 Stakeholder Projects

Understanding the Value of BMWs

Vehicle - Exploratory Data Analysis

Extract insights from used BMW cars – After preparing and analyzing the data from a 2018 BMW auction, you will find an interactive dashboard (in Tableau) that visually presents the key findings. It allows stakeholders to easily explore insights that can help improve sales decisions and optimize the auction process.

Data Cleaning & Segmentation in Banking

Explore customer behaviour on an online bank - You will uncover insights through data cleaning, customer segmentation, and a purchase propensity model. This project culminates in proposing targeted marketing strategies to help the company maximize its customer base and drive profitability.

📂 Personal Projects

Airbnb Market Trends Analysis

Hospitality Exploratory Data Analysis

Explore the tourist rental market in Seville through detailed data analysis – In this project you will analyze an Airbnb data set with information on prices, room types, availability and more. Uncover key patterns such as the limited influence of location on prices, tourists' preferences for entire apartments, and opportunities to optimize pricing strategies.

Coffee Retail Market Overview

Explore the coffee retail market - Yellow Zen dataset contains information on coffee orders, customer profiles, and product details from 2019 to 2022. Unveil key insights such as popular products, customer preferences, and regional variance with an interactive dashboard (in Excel) to adjust pricing, enhance marketing efforts, and improve customer engagement.

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    Finance - Exploratory Data Analysis, Visualization & Segmentation

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    This is a repository for the LinkedIn Learning course SQL for Data Analysis

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