Skip to content
View MoscatelliMarco's full-sized avatar

Block or report MoscatelliMarco

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
MoscatelliMarco/README.md

Hi there, I'm Marco Moscatelli πŸ‘‹

I'm a Data Scientist passionate about turning data into actionable insights and intelligent machine-learning solutions. I specialize in Python and have extensive experience with libraries like PyTorch, Pandas, Matplotlib, NumPy, and Scikit-Learn. I'm also skilled in web scraping using Scrapy to gather the data needed for analysis.

πŸ› οΈ Skills

  • Data Analysis: Expertise in using Pandas for data manipulation and analysis.
  • Machine Learning: Building predictive models using PyTorch and Scikit-Learn.
  • Data Visualization: Creating insightful visualizations with Matplotlib.
  • Numerical Computing: Proficient in using NumPy for complex mathematical computations.
  • Web Scraping: Experienced in extracting web data with Scrapy.
  • Web Development Building front-end and back-end of dynamic websites (occasionally).

πŸ“ Writing

I believe in sharing knowledge and contributing to the data science community through writing. Check out my Medium articles where I discuss tips, tutorials, and thoughts on data science, technology, and personal growth.

πŸ“ˆ Projects

I work on a variety of data science projects. Here are a few highlights:

  • WebScrap SerieA - πŸ•ΈοΈβš½ Scrape Serie A match data with ease using Scrapy! Run πŸƒβ€β™‚οΈ 'scrapy crawl matches' to collect πŸ“Š and analyze 🧐 football matches, outputting results to 'analyzed.json'.
  • WebScrap Worldometers - "WebScrap Worldometers" is a Scrapy-powered πŸ•·οΈ tool for extracting real-time population data πŸ“Š from Worldometers. It outputs structured CSV data πŸ“, ready for analysis.
  • Stripe Mongoose Api - πŸŽ‰ Accepting payments is a snap with this easy-to-use payment integration tool! πŸ’³πŸ›οΈ Sell products or manage subscriptions with straightforward setup steps. Designed for hassle-free payment processing in apps. πŸ™ŒπŸŽˆ
  • WebScrap TinyDeal - "WebScrap-TinyDeal" is a Scrapy-powered πŸ•·οΈ tool for harvesting product information 🏷️ from TinyDeal. It outputs structured CSV data πŸ“, ready for analysis.
  • WebScrap IMDB - 🎬 Python scraper for IMDB: Extract movie/TV details for πŸ“Š analysis & πŸ—ƒοΈ storage. Easy setup, πŸ”§ customizable, with πŸ–₯️ CLI.
  • Website for a personal trainer - Gaetano Chianello is a personal trainerπŸ‹οΈ who needed a website to show his abilities🀹, this website includes dynamic pages, an option to select different languages, and a connection to MongoDB (I can't share the source code for privacy and security purposes).

Feel free to check out my repositories and don't hesitate to reach out if you want to collaborate on a project or just have a chat about data science and technology.

πŸ“« How to Reach Me

⚑ Fun Fact

I love Calisthenics and Wrestling.

Popular repositories Loading

  1. medusa-plugin-blogger medusa-plugin-blogger Public

    A blog integration for your MedusaJS admin page, enabling you to create and manage blog articles directly from the admin interface. This plugin extends the capabilities of MedusaJS, a powerful head…

    TypeScript 20

  2. stripe-mongoose-api stripe-mongoose-api Public

    πŸŽ‰ Accepting payments is a snap with this easy-to-use payment integration tool! πŸ’³πŸ›οΈ Sell products or manage subscriptions with straightforward setup steps. Designed for hassle-free payment processin…

    JavaScript 15 2

  3. MoscatelliMarco MoscatelliMarco Public

    2

  4. articles-code articles-code Public

    Code from https://medium.com/@marco.moscatelli

    Jupyter Notebook 2

  5. WebScrap-SerieA WebScrap-SerieA Public

    πŸ•ΈοΈβš½ Scrape Serie A match data with ease using Scrapy! Run πŸƒβ€β™‚οΈ 'scrapy crawl matches' to collect πŸ“Š and analyze 🧐 football matches, outputting results to 'analyzed.json'.

    Python 1

  6. Sensopinion Sensopinion Public

    Sensopinion, web app emotion and sentiment analyzer

    Svelte 1