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πŸš€πŸš€βœ¨DATA SCIENCE & AUTOMATION WHIZZ βœ¨πŸš€πŸš€


I am Ellen, an experienced Data Scientist. I have 4 years of experience in Python and Data Science domains, including API Building, Data Sourcing, Data Engineering, Data Sourcing, Automation, and Machine Learning.

πŸ‘¨β€πŸ’» working remotely and traveling around πŸš€πŸ On weekends, I love to do what I enjoy: Travel & Sightseeing 😎!

  • πŸ”­ I’m currently working as a freelance Data Scientist. Book a consultation here 😁

  • 🌱 I’m currently teaching Data Science @ Le Wagon (Bali, Rio de Janeiro & Remote batch 🚌)

  • ❓ Ask me about anything related to data science stack and augmented reality related technologies πŸ‘Ύ

  • ⚑ AR fact: I'm building Filterqu. We have developed 100+ Augmented Reality experience for brands which generated 1 Billion Impressions on Social Media.


My Skill Set

Data Science & Machine Learning

Python TensorFlow PostgreSQL PowerShell OpenCV HTML5 CSS3 Bash Tableau Power Bi

Augmented Reality

Blender Unity TypeScript Photoshop

DevOps

AWS GCP Kubernetes Linux Git Bash PowerShell

liviaellen's Projects

ask_pdf icon ask_pdf

This app uses OpenAI's LLM model to answer questions about your PDF file. Upload your PDF file and ask questions about it. The app will return the answer from your PDF file

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-setup icon data-setup

Setup instructions for Le Wagon's students on their first day of Data Science Bootcamp

docs icon docs

Documentation and Wiki for Resuminator

dotfiles icon dotfiles

Default configuration for Le Wagon's students

engagementdetector icon engagementdetector

Projects Student Engagement Detection System in E-Learning Environment using OpenCV and CNN

handson-ml3 icon handson-ml3

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.

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