Angelo

Data Scientist

https://talent.gravityer.com/angelo

Computer science engineer. A guy from South Italy. Here trying to build something good.

Truth Seekers AI

Key Strengths

Demonstrated interest and practical experience in Data Science and AI/ML through numerous personal projects.
Proficiency in Python and Jupyter Notebook for data analysis and model development.
Experience with various AI/ML techniques including anomaly detection (Isolation Forest), classification (MobileNetV2 transfer learning), regression, and clustering.
Exposure to MLOps/DevOps concepts with FastAPI for deploying AI models and agents.
Ability to integrate with external APIs (Google Gemini API, NASA Images API, World Bank, Global Carbon Project) for data acquisition and model interaction.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Experience

Truth Seekers AI

Data Scientist

June 26, 2026 – Present

Projects

ai-safety-ethics-analyzer

June 6, 2026 – Present

AI Safety & Ethics Analyzer built with FastAPI + Gemini API. Analyzes text, code, and AI projects for risks (privacy, bias, misuse, security) and returns structured JSON for web integration (Wix frontend).

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AI-Gemini-API-FastAPI-Backend-for-AI-Agent-Vers.-2

June 5, 2026 – Present

Lightweight AI backend using FastAPI and Google Gemini API. Provides a simple REST endpoint to interact with an AI model. Built as a foundation for AI agents, SaaS products, and integrations (Wix, web apps, automation tools). Tech stack: Python, FastAPI, Requests, Gemini API.

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AI-Gemini-API-FastAPI-Backend-for-AI-Agent

June 2, 2026 – Present

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ai-agent-mcp-server-python

May 20, 2026 – Present

Lightweight MCP-style DevOps tool server built with Python and FastAPI. Includes AI-agent tools for GitHub, log analysis and SQLite querying.

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Climate-Risk-AI-Data-Driven-Economic-CO-Emissions-Risk-Index

April 23, 2026 – Present

AI-based system that builds an interpretable Climate Risk Index using real GDP (World Bank) and CO2 emissions (Global Carbon Project via Our World in Data), combining statistical normalization and weighted risk modeling.

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AI-Climate-Intelligence-GDP-vs-CO-Decoupling-Analysis

April 20, 2026 – Present

AI system that analyzes economic growth vs CO2 emissions using real World Bank and Global Carbon Project data, with ML modeling and climate clustering.

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Glacier-Size-Ice-Trend-Analysis-using-NASA-NOAA-NSIDC-G10037-Dataset

April 17, 2026 – Present

Machine learning project analyzing glacier size distribution and ice trend behavior using real NASA/NOAA NSIDC G10037 datasets. Combines glacier and glacier complex data to explore spatial patterns and approximate trend dynamics with regression modeling and clustering techniques.

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NASA-Planetary-Surface-AI-Classifier-Craters-Dunes-Rocks-Dust-

April 16, 2026 – Present

Deep Learning project that uses real NASA images to classify planetary surfaces (craters, dunes, rocks, dust) using MobileNetV2 transfer learning. Dataset is automatically built from NASA Images API and the model is trained end-to-end in Google Colab.

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nasa-climate-anomaly-detection

February 7, 2026 – Present

Detecting climate anomalies from NASA GISS data using Isolation Forest. The project identifies abnormal temperatures over time, visualizes the anomalies, and provides interpretable insights into global climate variations.

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Moral-Dilemmas-Simulator

August 19, 2025 – August 19, 2025

A Python simulator presenting ethical dilemmas, collects user choices, and saves responses in CSV and JSON formats for analysis.

View Project

Key Strengths

Demonstrated interest and practical experience in Data Science and AI/ML through numerous personal projects.
Proficiency in Python and Jupyter Notebook for data analysis and model development.
Experience with various AI/ML techniques including anomaly detection (Isolation Forest), classification (MobileNetV2 transfer learning), regression, and clustering.
Exposure to MLOps/DevOps concepts with FastAPI for deploying AI models and agents.
Ability to integrate with external APIs (Google Gemini API, NASA Images API, World Bank, Global Carbon Project) for data acquisition and model interaction.

Cultural Fit Analysis

The candidate's projects show a strong inclination towards environmental and ethical AI applications, which could align well with organizations focused on social impact or responsible AI. However, the projects are predominantly personal and lack evidence of collaborative work or diverse team environments. The candidate's experience level is listed as 0, with a current role as 'Data Scientist' starting in 2026, which is a future date, indicating a potential data entry error or aspirational entry. This makes it difficult to assess cultural fit based on professional experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work independently on complex problems, but team collaboration, stress handling, and communication clarity in a professional setting cannot be evaluated without specific assessment data or interview insights.

Angelo

Key Strengths

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit