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Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Pull Shark

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nuel000/README.md

About me:

I'm Python developer who just likes to do hard stuffs.

Products built:


Tech Stacks:

My Skills


Skills:

  • Backend Development:

    • Proficient in Django for building powerful and efficient backend systems.

  • Database Management:

    • Skilled in utilizing MYSQL and Postgres for effective data storage and retrieval.

  • API Development:

    • Experienced in creating Restful APIs, leveraging the Django Rest Framework (DRF) for seamless communication between services.

  • Web Automation:

    • Adept at utilizing Playwright for web automation, streamlining repetitive tasks and enhancing efficiency.

  • Automation:

    • Specialized in Python automation, developing scripts and tools to automate complex processes, improving productivity.

  • Web Scraping:

    • Proficient in web scraping techniques using BeautifulSoup (BS4) and Playwright, extracting valuable insights from web data.

  • Cloud Services:

    • Well-versed in Google cloud services, ensuring scalable and secure deployment of applications.

  • Version Control:

    • Expertise in Git and GitHub for efficient version control and collaborative development.

  • Web app Deployment (AWS)



Connect with me

Pinned Loading

  1. EDSA-Movie_Recommender-Streamlit-App EDSA-Movie_Recommender-Streamlit-App Public

    Jupyter Notebook 1

  2. EDSA_Twitter-Sentiment-Classification EDSA_Twitter-Sentiment-Classification Public

    Jupyter Notebook

  3. Otto-Group-Product-Classification Otto-Group-Product-Classification Public

    Jupyter Notebook

  4. Twitter-Sentiment-Analysis-App-Deployment Twitter-Sentiment-Analysis-App-Deployment Public

    Python

  5. Udacity-Data-Wrangling-Project Udacity-Data-Wrangling-Project Public

    In this project, I completed the data wrangling process on a data set from “We rate Dogs” twitter page. The process included:  Gathering the data  Assessing the data  Cleaning the data.

    HTML