Help & Supportcareers@gravityer.com
25, CS graduate, Data Science and Machine Learning student @ UNISA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Università degli Studi di Salerno
Data Scientist
June 27, 2026 – Present
sentiment-evaluation-challenge
December 4, 2025 – December 5, 2025
BIP AI Talent Week 2025 Challenge
View Projectschedulebot
July 13, 2025 – September 15, 2025
Intelligent Appointment Scheduling ChatBot
View Projectmultimodal-crisis-classification
May 23, 2025 – July 4, 2025
Multimodal Classification of Crisis-related social media contents.
View ProjectSiameseNN-for-Fake-images-detection
April 25, 2024 – May 13, 2025
develop a Siamese Neural Network capable of performing binary classification based on the Euclidean distance between embedding vectors generated by the network. This classification helps in predicting whether an image is synthetic or real.
View ProjectUser-Mobility-and-Base-Stations-Management-Model
November 21, 2023 – February 11, 2024
User-Mobility-and-Base-Stations-Management-Model — GitHub repository
View ProjectComun-ity
December 20, 2022 – January 27, 2023
Progetto coordinato GPS/IS Universitù degli Studi di Salerno anno 2022/2023
View ProjectTinyOcean
March 10, 2022 – July 4, 2022
"Technologies and Softwares for the Web" course project
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, which aligns with a Data Scientist role. However, the projects are primarily academic or personal, and there is limited information on collaborative work or diverse team environments. The experience level is listed as 0, with a current role as 'Data Scientist' at a university starting in the future, which suggests this is likely an academic or research assistant position rather than industry experience. This indicates a potential gap in real-world, industry-specific cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no psychometric or English test results to evaluate communication or work attitude.