Light

Federico Ricciardelli photo

federicoricciardelli Goto Github PK

followers: 1.0 following: 14.0 repos: 24.0 gists: 0.0

Name: Federico Ricciardelli

Type: User

Hi there, I'm Federico Ricciardelli 👋

About Me

Welcome to my GitHub profile! I am a passionate data scientist and economist with a profound interest in the intricate world of modeling and their real-world applications. With a degree in Quantitative Finance, I have dedicated several years of my career to the insurance sector, where I leverage my expertise to uncover insights and drive strategic decisions.

🌱 Lifelong Learner

One of my core beliefs is the importance of continuous learning. My curiosity drives me to constantly seek out new knowledge and skills. Whether it’s a new programming language, an emerging trend in data science, or the latest advancements in financial theory, I am always eager to expand my horizons. This perpetual quest for knowledge keeps me motivated and ensures that I am always at the forefront of my field.

💼 Professional Experience

Over the years, I have gained extensive experience in the insurance industry, a sector that constantly challenges me to apply my analytical skills in innovative ways. My role involves dissecting large datasets to identify patterns, assess risks, and provide actionable recommendations.

Typing Fast

📚 Education

I hold a degree in Quantitative Finance, a field that perfectly marries my love for mathematics and finance. My academic journey has equipped me with the skills to analyze complex financial data and develop quantitative models that predict market trends and inform investment strategies.

📫 Connect with Me

I am always open to connecting with like-minded professionals and exploring new opportunities. Feel free to reach out to me through the following channels:

Federico Ricciardelli's Projects

100-days-of-ml-code

100 Days of ML Coding

amazon-sagemaker-build-train-deploy

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

aws-data-wrangler

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

dat5

General Assembly's Data Science course in Washington, DC

data-analysis

Data Science Using Python

data-science-from-scratch

code for Data Science From Scratch book

data-science-on-aws

dotfiles

My dotfiles and personal preferences

feature-engineering

A Collection of Useful Notebooks to help in Feature Engineering.

federicoricciardelli

fromscratch

ggplot_tricks

Here, I collect some tricks I've learned about the {ggplot2} R package

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

jupyter

Jupyter metapackage for installation, docs and chat

kruschke-doing_bayesian_data_analysis

John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS

pandas-pipelines-custom-transformers

Material for Talk at PyData Seattle 2017

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pycon-2016-tutorial

Machine Learning with Text in scikit-learn

pydata-nyc-advanced-sklearn

Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.

python-folium

create maps with the folium package

scikit-learn-tips

:robot::zap: scikit-learn tips

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

the-kaggle-book

Code Repository for The Kaggle Book, Published by Packt Publishing

1

Recommend Projects

React

A declarative, efficient, and flexible JavaScript library for building user interfaces.
Vue.js

🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript

TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
TensorFlow

An Open Source Machine Learning Framework for Everyone
Django

The Web framework for perfectionists with deadlines.
Laravel

A PHP framework for web artisans
D3

Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

javascript

JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
web

Some thing interesting about web. New door for the world.
server

A server is a program made to process requests and deliver data to clients.
Machine learning

Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Visualization

Some thing interesting about visualization, use data art
Game

Some thing interesting about game, make everyone happy.

Recommend Org

Facebook

We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft

Open source projects and samples from Microsoft.
Google

Google ❤️ Open Source for everyone.
Alibaba

Alibaba Open Source for everyone
D3

Data-Driven Documents codes.
Tencent

China tencent open source team.