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 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.
Professional profile
What I bring to a data science team
Clean, model-ready datasets
I structure messy source data, handle missing values, and prepare reliable datasets for exploration, feature engineering, modeling, and stakeholder decisions.
Predictive thinking and experimentation
I use statistics, hypothesis testing, and machine learning fundamentals to move from descriptive reporting toward predictive and testable insight.
Product-aware technical thinking
My Apple Developer Academy experience helps me connect data work with user behavior, usability, and practical product outcomes.
Experience
Data science foundations with a product mindset.
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.
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
Time-series forecasting
Air Quality Forecasting
Forecasted next-hour PM2.5 pollution levels in Turin using OpenAQ data, lag features, baseline models, and Random Forest.Database systems
DisasterAid
Disaster relief management database system for operational coordination.Performance modeling
Concert Ticketing System
Queueing-network simulation for response time, drop rate, and station utilization analysis.Learning product
Interactive Data Science Learning App
Educational experience for practicing analysis, statistics, and model-thinking concepts.Environmental awareness
SafeAcqua
Data-driven iOS app supporting water safety awareness.Workflow
From raw data to predictive insight
Gather business context, source data, and key questions.
Clean, validate, join, and shape data for analysis and modeling.
Explore trends, engineer features, test assumptions, and evaluate useful signals.
Explain results, limits, and decisions with visuals, metrics, and product context.
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.