Alfredo Mungari

Data Scientist

https://talent.gravityer.com/alfredo-mungari

ML Engineer & Data Scientist · MSc 110L Machine Learning & Big Data @uniparthenope · Research CI&SS Lab · Generative AI · XAI · Fairness

University of Naples "Parthenope"

Key Strengths

Strong academic background in Computer Science, evidenced by Master's Thesis.
Demonstrated experience with Python for data-intensive projects, including bias detection and machine learning.
Exposure to various programming paradigms and tools (Java, C++, Swift, Jupyter Notebook, Shell, TeX).
Specific project experience in 'Feature-driven bias detection in tabular classifiers' directly aligns with advanced Data Scientist responsibilities.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project history indicates a strong academic and research-oriented background. While there is a breadth of technologies, the focus is heavily on personal and university projects. The single listed professional experience is current and recent, making it difficult to assess long-term cultural fit in a corporate environment. The projects demonstrate an ability to work independently and on complex technical challenges.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

master_thesis

April 27, 2026 – Present

Master's Thesis in Applied Computer Science (110/110 Summa Cum Laude). A pipeline combining counterfactual feature importance (BoCSoR) and hierarchical Association Rule Mining for feature-driven bias detection in tabular classifiers. Validated on the 2024 ACS census microdata.

View Project

arm-counterfactual-features

February 25, 2026 – Present

Master's Thesis implementation — Feature-driven bias detection in tabular classifiers via counterfactual feature importance (BoCSoR) and hierarchical Association Rule Mining (FP-Growth). Validated on U.S. Census ACS 2024 (~1.75M records) with CatBoost and MLP.

View Project

Cognitive-Robotics

February 20, 2025 – March 25, 2025

Pepper behaviour modules for user emotive support

View Project

LogicalBattleShip

July 3, 2024 – July 27, 2024

LogicalBattleShip — GitHub repository

View Project

Bachelor-thesis

October 18, 2022 – December 14, 2022

Bachelor thesis

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Matrix-Vector-Multiplication-OPEN_MPI

April 20, 2022 – June 14, 2022

Matrix Vector Multiplication OPEN_MPI

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adaptation

April 11, 2022 – April 20, 2022

iOS Foundation Program Final Challenge App

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AUDO4RIAS

April 2, 2022 – March 23, 2023

Software to prepare input for docking, perform docking and molecular analysis

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IPT

October 14, 2021 – August 10, 2022

Trasporto Urbano - Progetto Ingegneria del Software, Interazione Uomo-Macchina, Programmazione 3 (Università Parthenope)

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esse4

September 16, 2021 – July 29, 2022

Portale Studenti - Progetto Basi di Dati e Laboratorio di Basi di Dati (Università Parthenope)

View Project

Key Strengths

Strong academic background in Computer Science, evidenced by Master's Thesis.
Demonstrated experience with Python for data-intensive projects, including bias detection and machine learning.
Exposure to various programming paradigms and tools (Java, C++, Swift, Jupyter Notebook, Shell, TeX).
Specific project experience in 'Feature-driven bias detection in tabular classifiers' directly aligns with advanced Data Scientist responsibilities.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Alfredo Mungari

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit