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gianelytics/README.md

Hi👋, I'm Gianella Sandoval

  • 🎓 Bachelor in Economics, analytical and organized, results-oriented and responsible, with the ability to adapt to change and teamwork.
  • 💡 I am very interested in developing my profession in finance, banking, data analysis and data science
  • 📊 I recently finished a Python Data Analyst Bootcamp in the NTT Data program.
  • 💻 Currently, I am pursuing a certification in Technology Development taught by Digital House, in collaboration with Globant and Mercado Libre.
  • 🔎 I am looking for a professional challenge, so I would love to get into the tech world as an analyst and data scientist.
  • 🚀 Excited to contribute my skills and expertise to a dynamic and forward-thinking organization.
  • 🌐 Keen interest in staying updated with the latest trends in finance, banking, and data science through continuous learning and professional development.
  • 📄 Cv virtual

📫 Contact me

Gmail LinkedIn

📌My projects

📌Language and tools

Python SQL MySQL MongoDB Jupyter Notebook Vscode Git GitHub PowerBi Figma


📌Certifications

DIGITAL HOUSE - GLOBANT - MERCADO LIBRE
  • [Certified Tech Developer] (2023)

Studying a programming career with training in Front End, Back End, infrastructure and database. In addition, I developed soft skills such as learning agility, teamwork, effective communication and adopted a professional attitude.

NTT DATA

During the bootcamp, I acquired skills in Python, data analysis, data cleansing and data visualization using relational and non-relational databases. I also developed expertise in the use of libraries such as Numpy, Pandas, Matplotlib and Seaborn, as well as knowledge in MongoDB, MySQL, SQL and Microsoft PowerBI.

In addition, I strengthened my skills in collaborative work, effective communication and time management, and acquired knowledge in agile methodologies.

Laboratoria e IBM

In this bootcamp, I learned statistical concepts, as well as skills in managing spreadsheets and database engines in the cloud. These skills allow me to sort, clean, aggregate and manage large amounts of data, and then use tools such as Microsoft SQL Server, Microsoft Power BI and Microsoft Excel effectively to generate visualizations, reports and support decision making in business contexts. In addition, I have skills in data analysis and a strong ability to use these tools to gain valuable insights and contribute to the success of projects.

📌Courses

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