Hello, I'm

Davide Chen

MSc Student in Data Science & Business Informatics
Computer Science background @ University of Pisa

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My Intro

About Me

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MSc Student

Data Science & BI

Position

Data Scientist

Based

Pisa, ITALY

I am a dedicated Junior Data Scientist driven by a deep passion for delivering actionable insights through sophisticated analytical functions and efficient data retrieval techniques. My ultimate goal is to empower companies in their progress by aiding them in developing strategic plans grounded in predictive modeling and valuable discoveries.

Characterized by an entrepreneurial spirit, I possess an unwavering desire to explore the world, embrace the unfamiliar, and maintain a perpetually curious mindset. Additionally, I am known for my sociable nature, always eager to engage and contribute to various endeavors.

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My personal journey

Qualification

Experience

Data Scientist -
Driverless Division

Project - ETeams Squadra Corse
Oct 2022 - Sept 2023

Big Data Analyst

Internship - Aubay Italia
Apr 2022 - Oct 2022

Samsung Smart Things

SIC Project - Samsung Electronics Italia
Mar 2021 - Sept 2021
Education

Data Science & Business Informatics

Master's Degree - University of Pisa
2025

Computer Science

Bachelor's Degree - University of Pisa
2021

Computer Science

Erasmus+ Exchange Program - University College Dublin
2020

Administration, Finance & Marketing

High School Diploma - I.S.I.S. Einaudi-Giordano
2016
My technical level

Skills

Frontend developer

HTML

Intermediate

CSS

Intermediate

JavaScript

Basic

Bootstrap

Basic

Git

Basic

Backend developer

C

Intermediate

JAVA

Intermediate

Python

Intermediate

PHP

Basic

PL/SQL

Basic
My Portfolio

Some Projects

ReUp - PdM in Industry 4.0

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ReUp - Predictive Maintenance in Industry 4.0

  • Partnership: Samsung Electronics & Vitesco Technologies


As the final step of the Samsung Smart Things educational journey, the project consists of developing innovative ideas for using and maintaning of Cobots (Collaborative-Robots) used by Vitesco Technologies in their production. In particular, it is required to design and develop a Predictive Maintenance system complete with the following modules:

  • Machine Learning Model

  • User-friendly Web-App

  • Integration of an IoT Kit

  • Definition of business model of the proposed solution

Una Cervecita Fresca

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Una Cervecita Fresca

The project aims to design, implement and manage a system for the sale and inventory management of craft beers using the ORACLE Database.

  • Relational Database (ORACLE)

  • PL/SQL, HTML, CSS, JavaScript, PHP

  • See on Github

WORTH -
WORk
TogetHer

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WORTH - WORk TogetHer

The project consists of the implementation of WORkTogetHer (WORTH): a tool for managing collaborative projects inspired by some principles of the Kanban methodology. The tool is built in JAVA using the following Protocols and Technologies:

  • Client-Service

  • TCP, UDP, RMI, Multicast, ...

  • Multi-threading

  • NIO-Selector

  • SHA3-256 Secure Hash for Autentication

  • See on Github

Ableshoes
Projects

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Ableshoes

The project is designed to apply qualitative and quantitative methods to solve design and management problems.

  • Topics covered:

  • Design process & Project Management

  • Needs and users analysis

  • Scope definition

  • Solution discovery

  • Pretotyping

Data
Mining I

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DM I - Data Mining: Fundamentals

This project consists in analyzing with data mining tools the problem of forecasting high seismic bumps in a coal mine. The data was taken by the polish "Institute of Computer Science, Silesian University of Technology" and the " Institute of Innovative Technologies", from a Polish coal mine. The project consists of four parts and covers the following topics:

  • Data Understanding & Preparation

  • Clustering

  • Classification

  • Pattern Mining

  • See on Github

Data
Mining II

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DM II - Data Mining: Advanced Topics and Applications

This project consists in analyzing with some advanced data mining tools the problem of Human Activity Recognition. The dataset is built from the recordings of 30 subjects performing activities of daily living while carrying a waist-mounted smartphone with embedded inertial sensors. Topics covered:

  • Outlier Detection

  • Dimensionality Reduction

  • Advanced Classification

  • Time Series Analysis

  • Sequential Pattern Mining

  • See on Github
My languages level

Languages

Proficiency

Italian

Native

Chinese

Native

English

B2-C1

Spanish

B1
My achievements

Awards & Recognitions

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Winner of Samsung Innovation Campus - Smart Things Edition

Winner of Samsung Innovation Campus 2021 edition, a project dedicated to creating a group of young problem-solvers in the fields of Artificial Intelligence, Machine Learning, IoT, Cybersecurity, Project Management and Soft Skills.

Get in touch

Contact Me

Talk to me

Email

davide.chen@outlook.it Write me

LinkedIn

Davide Chen Connect with me

GitHub

Grade0 See my projects

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