I am a Data Science Master's student at the University of Naples Federico II with a background in data analytics, big data, ETL, databases, and business intelligence reporting.
I have built a PySpark-based big data pipeline that processed 25 million MovieLens ratings, transformed and analyzed the data, and loaded results into MongoDB and Neo4j for querying and graph analysis.
I have experience with SQL, Python, R, Scala, MATLAB, Spark, data validation, exploratory data analysis, predictive modeling, machine learning, and deep learning. I focus on producing accurate, reproducible, and audit-ready data outputs.
During my internship at CNR-ICAR, I worked with clinical and medical imaging data, contributing to machine learning and deep learning analyses while investigating dataset inconsistencies and assessing diagnostic image quality.
I am comfortable working independently, managing multiple data requests under deadlines, and explaining analytical findings to non-technical stakeholders through dashboards, charts, and concise reports.
I am interested in growing as a data analyst and data engineer, particularly in AWS EMR, Apache Airflow, DataOps, and scalable data pipeline development within a collaborative team.
I maintain data accuracy across assigned collection sites by following defined collection and validation procedures. I manage multiple assignments and urgent data requests while meeting strict deadlines.
I investigate and resolve mismatches between data sources using SQL and Excel, helping ensure that reporting data is consistent and reliable.
I worked on machine learning and deep learning models for predictive analysis of medical images. I also analyzed clinical data in MATLAB to assess the quality of diagnostic images.
I checked complex datasets for errors and inconsistencies to support reproducible results. I communicated findings through charts and concise written summaries for non-technical colleagues.
I taught English to adults, children, and students in a language-center setting.
I adapted lessons and explanations to learners with different ages and proficiency levels.
Master's Degree, Data Science
Currently enrolled. Coursework includes machine learning, predictive modeling, big data with Spark, Databricks and Hadoop, databases, and BI reporting.
Bachelor's Degree, Data Analytics
Studied statistics, relational databases, BI platforms, Python, and R.
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