Records cleaned and prepared for analysis, modeling, and reporting.
Aspiring data scientist | Turin, Italy
Building models and insights from complex data.
I am a Data Analysis student moving toward data science, with a strong base in Python, SQL, statistics, machine learning, and visualization. My work spans data cleaning, exploratory analysis, predictive modeling, dashboards, and data-driven products built at Apple Developer Academy.
Co-founder of RunAnyway.it, a non-profit community helping people run without fear and feel supported through movement.
Project areas across data engineering, forecasting, database systems, performance modeling, learning products, and environmental awareness.
Merit-based Scholarship winner for 3 consecutive years and Meritevoli Scholarship winner for 2 consecutive years.
Experience
Data science foundations with a product mindset.
Sep 2020 - Sep 2021
Data Analyst Intern | Dadeh Kavan Shargh Company
Cleaned structured and unstructured datasets, performed exploratory analysis, wrote SQL queries, and built reporting assets that supported trend discovery and business decision-making.
Sep 2023 - Jun 2024
iOS Developer Trainee | Apple Developer Academy
Developed Swift and SwiftUI applications in agile teams, with features for data collection, processing, visualization, and user behavior analysis.
Projects
Selected work
Data engineering
European Energy & Weather Pipeline
End-to-end ETL pipeline combining Open-Meteo weather and ENTSO-E energy data for four European markets, with PostgreSQL marts, tests, and a Streamlit dashboard.Time-series forecasting
Air Quality Forecasting
Random Forest beat naive baseline — MAE 3.18 µg/m³ across 7,500+ hourly readings.
DATABASE SYSTEMS
DisasterAid
Designed a disaster relief coordination database with role-based clearance, capacity enforcement, and full donation-to-delivery audit trail.
PERFORMANCE MODELING
Concert Ticketing System
Simulated a concert ticketing system under peak load — 4,000 req/min — hitting 535ms response time and 4.57% drop rate, well within targets.
Learning product
Interactive Data Science Learning App
Interactive learning app with guided paths, progress tracking, practice tasks, and project-based exercises for data science fundamentals.
Environmental awareness
SafeAcqua
Data-driven iOS app that helps users track daily habits, understand water impact, and build safer choices through simple insights.Skills
Technical toolkit
A practical mix of Python data science, machine learning foundations, statistical reasoning, SQL, visualization, and product-oriented app development.
Programming
Python, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, R
Databases
SQL joins, aggregations, window functions, extraction
Machine Learning
Scikit-learn, feature engineering, model evaluation, classification and regression basics
Statistics & Visualization
EDA, statistical analysis, hypothesis testing, Matplotlib, Seaborn, Power BI
Education & recognition
Academic foundation
Bachelor in Data Analysis University of Campania Luigi Vanvitelli
Nov 2022 - Present
Academic path focused on statistics, data analysis, machine learning fundamentals, and programming for data science.
Apple Developer Academy University of Naples Federico II
Sep 2023 - Jun 2024
Built iOS product experiences in multidisciplinary teams, connecting data-driven thinking with usability and product outcomes.
Honors Scholarships & recognition
2022 - Present
Merit-based Scholarship winner for 3 consecutive years, Meritevoli Scholarship winner for 2 consecutive years, iOS Developer Certificate, and Comune di Napoli app presentation.
Contact
Let's build something intelligent with data.
I am open to opportunities in data science, machine learning, product analytics, and data-driven software.
