Emanuele Ferrari
I’m a third-year Data Science student eagerly seeking a stimulating internship.
I had previous work experience throughout Europe as a sound engineer and network technician, working with and leading small and medium-sized international teams. I discovered my passion for coding during Game Jam Hackathons, where I started programming to implement audio in video games.
The pandemic inspired reflection and change; hence, in 2021, I moved to Berlin and initiated my new Data Science journey. Over the past two years, I became proficient in Python, R, SQL and familiar with the major tools and libraries of this fascinating domain.
This project is focused on analyzing trade data of Italy from 2017 to 2022 to provide insights into the country's net trade. The goal is to present the data visually and provide valuable information regarding the Italian economy.
A sophisticated recommendation system built to suggest video games based on multiple factors, utilizing the power of various similarity metrics
Analyzing the complex network modeling the Western United States power grid. Aiming to understand its structural vulnerabilities, increase resilience against unexpected disruptions, and ensure a more reliable and stable power grid.
This project focuses on classifying customers into distinct categories based on their behaviours and characteristics. Understanding and classifying customers into different segments in the modern business environment can significantly help marketing and improve customer service. This pipeline uses Random Forest and Logistic Regression to achieve this goal.
Current Location: Berlin, willing to relocate
Pandas, NumPy, Plotly, Seaborn, Matplotlib, Dash, SciPy, Sklearn, PyTorch, Spacy, Networkx, BeautifulSoup, Tableau, Unity, FMOD.
Basic knowledge of HTML and CSS
Gisma University of Applied Sciences
GPA 97/100
Undertaken courses: