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
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.