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👋 Hello! I'm Paul André, a Junior Data Engineer passionate about connecting data and turning them into actionable solutions. 📊💡

🔬 My areas of interest include:

  • Designing Data Pipelines
  • Data ingestion and itegration
  • Database storage solutions
  • ETL Development and automatation workflows
  • Ensuring Data Quality, and
  • Optimizing Queries and Storage

🎓 I am a graduate Industrial engineering from Universidad Nacional de Callao. During my Henry Data Science bootcamp studies, I gained hands-on experience in analyzing datasets, cleaning data, improving my Python skills, and building dashboards and predictive models.

💼 I'm currently seeking opportunities to apply my skills in a professional setting. I'm particularly interested in joining a team that values innovation, collaboration, and using data-driven approaches to solve real-world problems.

💪 Here's what I bring to the table:

  • Proficiency in Python, with experience in libraries such as Pandas, NumPy, Streamlit.
  • SQL knowledge and relational databases. MySQL and MSSQL.
  • Familiarity with cloud platforms such as GCP.

🌱 I'm constantly expanding my knowledge and staying up-to-date with the latest developments in data science. You can find my personal projects, code samples, and data visualizations on my GitHub.

Languages/Frameworks i've worked with:

MySQL SSMS Mongodb

Languages/Frameworks in which i'm studying:

Python

Tools I use:

Visual Studio Code streamlit


Let's keep in touch:

PaulAandree

#DataScience #MachineLearning #Python #DataAnalysis #DataVisualization

hey! hey!

PaulAndree's GitHub stats

Paul André's Projects

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

mail-importer icon mail-importer

Mail Importer for Gmail will upload the contents of a Thunderbird mail archive to Gmail and do its best to preserve the read state, flagged state, and folders of the messages.

pi_da icon pi_da

Repositorio del PI03 de Data Science

text-generation-webui icon text-generation-webui

A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.

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