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10 followers · 29 following

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Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

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@LDSSA

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carlacotas/README.md

Hi there 👋 I am Carla, a Data Analyst and Data Scientist Enthusiast 👩‍💻📈📊 with main background in Chemical Engineer 👩‍🎓


👩‍💻🕵️ My professional experience has been in research and development because I feel accomplished in contributing to the solution of society's problems and in the generation of knowledge, applied in the development of new products and processes, as well as improving the existing ones.

📚👩‍💻 I am fascinated by the field of data analysis, data science and marketing analysis/science. The ability to extract, explore, analyze and the possibility of developing knowledge, as well as the application in different fields to propose strategies and appropriate tools for solving real problems. Consequently, I believe that processes when combined with data science contribute to the improvement of projects, processes, products and services.

◽️ In addition, I have great interest in applying my knowledge in data and engineering to contribute to the development and innovation of processes and products! 🎯🖥️⌨️🏭🌍


📌 Technical skills:

  • Data analysis and data science: MySQL, Microsoft Power BI, Tableau Public, Gretl
  • Operating systems: Windows and Linux
  • Programming languages: Python, R, Matlab, Excel - VBA, Python and Fortran
  • CAD 3D software: SolidWorks
  • CFD software: ANSYS Fluent, COMSOL and OpenFOAM
  • Coding skills: - HTML, CSS, JavaScript and Ruby

👯 I’m looking to collaborate on data related projects and, also, projects where my hard skills fit

💬 If you have any question/feedback, please do not hesitate to reach out to me!


Anurag’s github stats Top Langs

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    Landing page using html-css. This project was created during the program The Tech Career GPS - 2nd Edition

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  2. Project-SheCodes Project-SheCodes Public

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  3. data-science-kaggle-Titanic-Project data-science-kaggle-Titanic-Project Public

    This repository contains the solution for the Titanic ML competition on Kaggle [https://www.kaggle.com/c/titanic] following the steps presented by Ken Jee [https://www.kaggle.com/kenjee/titanic-pro…

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