Data analytics, machine learning, and iOS development
Master's student in Stochastics and Data Science in Turin, Italy, building practical data products across predictive modeling, API-based analysis, databases, and SwiftUI apps.
Professional profile
Javad combines statistical modeling, data analytics, and product-minded development. His work spans predictive healthcare modeling, air-quality data pipelines, database systems, clustering analysis, and SwiftUI applications designed with real user behavior in mind.
He is currently pursuing a Master's Degree in Stochastics and Data Science at Universita di Torino, with training in probability theory, statistical inference, stochastic processes, machine learning, and computational methods for complex data.
Selected work
Built a healthcare prediction model on 100,000 patient records for a bachelor's thesis, comparing Logistic Regression, Random Forest, and XGBoost after EDA and preprocessing.
Created an OpenAQ API pipeline to collect, clean, analyze, and visualize PM2.5 pollution trends for Milan and Paris using Matplotlib and Seaborn.
Designed a relational hotel operations database covering guests, reservations, payments, and staff assignments with ER models, relational schemas, and SQL queries.
Implemented K-means and K-medoids for datasets including Iris and voting data, applying dimensionality reduction and distance matrices to evaluate structure.
Developed a data-driven iOS app to improve sleep quality through visual color patterns and behavioral research in an international Academy team.
Built an iOS experience introducing Persian cuisine and culture, integrating recipe APIs and personalized recommendations based on explored Iranian cities.
Experience and education
Nov 2025 - Present
Universita di Torino, Turin
Probability, statistical inference, stochastic processes, machine learning, and computational data methods.
Sep 2023 - Jun 2024
Apple Developer Academy, Naples
Developed iOS, iPadOS, watchOS, and tvOS applications with Swift and SwiftUI, including data collection and visualization features.
Nov 2022 - Nov 2025
Universita Luigi Vanvitelli, Caserta
Focused on statistics, machine learning, Python, R, data mining, statistical inference, and database systems.
Sep 2020 - Sep 2021
Azar Pardaz Shargh, Tabriz
Extracted and structured raw business data to reveal operational trends and sharpen data processing skills.
Technical stack
Python, R, MATLAB, Swift, SwiftUI
EDA, data cleaning, feature analysis, preprocessing, visualization, missing values, outlier detection
Logistic Regression, Random Forest, XGBoost, K-means, K-medoids, clustering evaluation
SQL, database design, entity-relationship modeling, relational schemas
Problem discovery, user research, surveys, data-driven decision making, statistical reasoning
Technical presentations, Keynote, PowerPoint, and multidisciplinary collaboration
Honors and service
AdisurCampania Scholarship, EDISU Piemonte Scholarship, Meritevoli Scholarship, and Apple Developer Academy Certificate and Scholarship.
Volunteered at Ostad Shahriar Elementary School in Marand, teaching basic programming concepts and computational thinking.
Persian and Turkish native speaker; English B2; Italian B1 working proficiency.