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Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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AntQua/README.md

👋, I'm Antonio!

A Junior Data Scientist and Full-Stack Web Developer

  • 🏠 Living in Lisbon, Portugal.

  • ♻ On a career change path from banking to data science and web dev 💪

  • 🔭 Just finished the Data Science bootcamp at LeWagon Lisbon

  • 🚀 I’m looking for my first job as a Data Scientist or Web Developer!

  • 🥳 Whiling to start working on great and challenging projects where i can grow and keep learning.

  • 🌱 I'm learning Microsoft Power BI 🥳

  • ⚡ Fun fact: I'm a dog dad (Twins!)

Connect with me:

https://www.linkedin.com/in/antonio-quaresma/

Languages and Tools:

Programming Languages

csharp javascript python ruby typescript

Frontend Development:

bootstrap css3 html5 react tailwind vuejs

FRAMEWORKS:

dotnet flask rails

AI/ML:

pandas pytorch scikit_learn seaborn tensorflow

DATABASE:

mssql mysql postgresql sqlite

DEVOPS/MLOPS:

azure docker gcp

SOFTWARE:

figma postman

Baas:

firebase heroku

VERSION CONTROL:

git

antqua

 antqua

antqua

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  1. UFO_Predictor UFO_Predictor Public

    With E.T. Predictor, foresee alien visitations and visualize eyewitness accounts using advanced AI technology

    Jupyter Notebook 1

  2. taxifare-website taxifare-website Public

    Python

  3. app-2care app-2care Public

    Ruby

  4. Predicting-Employee-Churn Predicting-Employee-Churn Public

    Predictive modeling project to analyze and forecast employee turnover at Salifort Motors, using various machine learning techniques to improve retention and reduce turnover costs.

    Jupyter Notebook

  5. TikTok-Claim-Prediction TikTok-Claim-Prediction Public

    A predictive model for detecting claims and opinions in TikTok videos, designed to optimize content moderation and improve the efficiency of user report handling.

    Jupyter Notebook

  6. movie-recommendation-app movie-recommendation-app Public

    A Python-based movie search and recommendation app using Weaviate vector database and RAG for context-aware suggestions.

    Python 1