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Hi there, I'm Marco Moscatelli ๐Ÿ‘‹

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.

๐Ÿ› ๏ธ 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).

๐Ÿ“ 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.

๐Ÿ“ˆ Projects

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

  • WebScrap SerieA - ๐Ÿ•ธ๏ธโšฝ Scrape Serie A match data with ease using Scrapy! Run ๐Ÿƒโ€โ™‚๏ธ 'scrapy crawl matches' to collect ๐Ÿ“Š and analyze ๐Ÿง football matches, outputting results to 'analyzed.json'.
  • WebScrap Worldometers - "WebScrap Worldometers" is a Scrapy-powered ๐Ÿ•ท๏ธ tool for extracting real-time population data ๐Ÿ“Š from Worldometers. It outputs structured CSV data ๐Ÿ“, ready for analysis.
  • Stripe Mongoose Api - ๐ŸŽ‰ Accepting payments is a snap with this easy-to-use payment integration tool! ๐Ÿ’ณ๐Ÿ›๏ธ Sell products or manage subscriptions with straightforward setup steps. Designed for hassle-free payment processing in apps. ๐Ÿ™Œ๐ŸŽˆ
  • WebScrap TinyDeal - "WebScrap-TinyDeal" is a Scrapy-powered ๐Ÿ•ท๏ธ tool for harvesting product information ๐Ÿท๏ธ from TinyDeal. It outputs structured CSV data ๐Ÿ“, ready for analysis.
  • WebScrap IMDB - ๐ŸŽฌ Python scraper for IMDB: Extract movie/TV details for ๐Ÿ“Š analysis & ๐Ÿ—ƒ๏ธ storage. Easy setup, ๐Ÿ”ง customizable, with ๐Ÿ–ฅ๏ธ CLI.
  • Website for a personal trainer - Gaetano Chianello is a personal trainer๐Ÿ‹๏ธ who needed a website to show his abilities๐Ÿคน, 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.

๐Ÿ“ซ How to Reach Me

โšก Fun Fact

I love Calisthenics and Wrestling.

Marco Moscatelli's Projects

sensopinion icon sensopinion

Sensopinion, web app emotion and sentiment analyzer

stripe-mongoose-api icon stripe-mongoose-api

๐ŸŽ‰ Accepting payments is a snap with this easy-to-use payment integration tool! ๐Ÿ’ณ๐Ÿ›๏ธ Sell products or manage subscriptions with straightforward setup steps. Designed for hassle-free payment processing in apps. ๐Ÿ™Œ๐ŸŽˆ

webscrap-imdb icon webscrap-imdb

๐ŸŽฌ Python scraper for IMDB: Extract movie/TV details for ๐Ÿ“Š analysis & ๐Ÿ—ƒ๏ธ storage. Easy setup, ๐Ÿ”ง customizable, with ๐Ÿ–ฅ๏ธ CLI.

webscrap-seriea icon webscrap-seriea

๐Ÿ•ธ๏ธโšฝ Scrape Serie A match data with ease using Scrapy! Run ๐Ÿƒโ€โ™‚๏ธ 'scrapy crawl matches' to collect ๐Ÿ“Š and analyze ๐Ÿง football matches, outputting results to 'analyzed.json'.

webscrap-tinydeal icon webscrap-tinydeal

"WebScrap-TinyDeal" is a Scrapy-powered ๐Ÿ•ท๏ธ tool for harvesting product information ๐Ÿท๏ธ from TinyDeal. It outputs structured CSV data ๐Ÿ“, ready for analysis. Explore the scripts ๐Ÿ‘จโ€๐Ÿ’ป for an interactive scraping adventure or leverage the data for competitive pricing strategies ๐Ÿ“ˆ.

webscrap-worldometers icon webscrap-worldometers

"WebScrap Worldometers" is a Scrapy-powered ๐Ÿ•ท๏ธ tool for extracting real-time population data ๐Ÿ“Š from Worldometers. It outputs structured CSV data ๐Ÿ“, ready for analysis. Dive into the code ๐Ÿ‘จโ€๐Ÿ’ป for a hands-on scraping experience or use the data for demographic research ๐Ÿงฎ.

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