Hello, I'm Gianfilippo

😶‍🌫️ Who am I?

Hi, my name is Gianfilippo Tito. I'm currently studying Statistics and Data Science at the University of Perugia, and I'm really enjoying it! I'm really interested in specializing in data science, machine learning, AI, or other emerging technologies.

I'm on the lookout for internship opportunities that will allow me to gain hands-on experience and add some exciting new elements to my resume.

About Me 🥸

When I'm not working with data, equations, and algorithms, I love exploring new worlds through books and comic books, listening to music, and spending time with my cats . They make the best debugging companions!

My curiosity is my guiding light, driving me to learn and grow in so many ways. Whether it's mastering a new programming language, understanding complex statistical models, or simply figuring out how things work, I'm always eager to learn more.

I really believe that the best insights come from mixing analytical rigor with creative thinking, and I'm so excited to bring both of these things to my future career in data science.

Education

M.S in Statistical Data Science Sept. 2024 - Present

Brief description:

Master’s degree course based on the study of mathematical and statistical models for big data analysis with a focus on data derived from business and finance.

B.S.c in Economics Nov. 2020 - Apr. 2024

Brief description:

Graduate Thesis: "Blockchain and Supply Chain Management: Characters and Trends".
Main courses: Mathematical, Financial mathematics, Statistics, Microeconomics, Macroeconomics.

Work Experience

DIGITAL MARKETING ANALYSIS INTERN Oct. 2023 - Dec. 2023

Brief description:

Active participation in the planning and execution of digital marketing strategy.
Social Media Marketing, SEO and online advertising campaigns.
Use of Google Analytics and other tools, e.g. Microsoft Clarity, for data mining.
Analysis of the data obtained.

Project

AppScreenshot

Stock Trend Prediction App 📈

This Data Science project uses machine learning to analyze financial data from Yahoo Finance. A simple LSTM model, built with TensorFlow and Keras, predicts stock prices. A Streamlit-based web interface allows users to input data and select a stock for analysis.