Passionate and driven Data Analyst with strong skills in SQL, Python, and data visualization, supported by a multidisciplinary background in UX Design, Architecture, AI, and immersive technologies. Experienced in data cleaning, analysis, and storytelling, with a proven ability to transform raw data into meaningful insights that guide decision-making. Adept at solving complex problems, collaborating with cross-functional teams, and delivering scalable, high-quality solutions. Eager to leverage analytical expertise to create impactful strategies and contribute to business growth in dynamic, data-driven environments.
The goal of this project was to predict bike rental demand using supervised machine learning, and evaluate whether ML models could outperform a simple baseline (average rentals).
The app is deployed on Streamlit Cloud.
An interactive dashboard built with Streamlit to monitor and explore the chances of seeing the Northern Lights (Aurora Borealis & Australis) in real time.
The app is deployed on Streamlit Cloud.
Transforming real fashion news into actionable wardrobe inspiration.
The app is deployed on Streamlit Cloud.
This project analyzes over 5 million H&M transactions to uncover purchasing behavior and sales trends in Ladieswear.
Based on my findings, I developed some marketing recommendations for H&M focused on customer targeting, inventory planning, and discount strategies.
Bellabeat, is a high-tech company that manufactures health-focused smart products that inform and inspire women worldwide. Collecting data on activity, sleep, stress, and reproductive health has allowed Bellabeat to empower women with knowledge about their health and habits.