Skip to content
View andreamoleri's full-sized avatar
๐ŸŒฑ
Learning
๐ŸŒฑ
Learning
  • University of Milano-Bicocca
  • Milan
  • 22:45 (UTC +01:00)
  • LinkedIn in/andreamoleri

Highlights

  • Pro

Block or report andreamoleri

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 userโ€™s behavior. Learn more about reporting abuse.

Report abuse
andreamoleri/README.md
import Cocoa

class SoftwareEngineer {
    let name = "Andrea Moleri"
    let role = "Software Engineer"
    let spokenLanguages = ["๐Ÿ‡ฎ๐Ÿ‡น", "๐Ÿ‡บ๐Ÿ‡ธ", "๐Ÿ‡ช๐Ÿ‡ธ", "๐Ÿ‡ฉ๐Ÿ‡ช"]
    let areasOfInterest = ["Federated Learning", "Queue Theory", "Large Scale Crowd Management"]
    let specializations = ["Machine Learning", "Data Analysis", "iOS Development"]
    
    func greetings() {
        print("Hi there, thanks for dropping by! Hope you find something interesting")
    }
}

let me = SoftwareEngineer()
me.greetings()

Pinned Loading

  1. Offside Offside Public

    A football recommender system based on the euclidean distance matrix that analyse similarities between players based on their technicalities, measuring deltas on a variable n-dimensional plane.

    Jupyter Notebook 1

  2. StarryNight StarryNight Public

    A Python notebook based on the Hertzsprung-Russell Diagram, which employs machine learning methodologies to unveil inherent patterns within stellar data, aiming to assist scientists and astronomers.

    Jupyter Notebook 2

  3. JSONParser JSONParser Public

    A multi-paradigm JSON manipulation library written both in Lisp and Prolog, offering comprehensive parsing, data structuring, precise value retrieval, and robust syntax error identification.

    Common Lisp

  4. Hauntings Hauntings Public

    This Python application analytically processes CSV data containing haunted site information, employing heatmap visualization techniques to discern the most paranormally active regions within the USA.

    Python 1