Marcello P.

Data Scientist

https://talent.gravityer.com/marcello-p

Cyber-Shores

Key Strengths

Exposure to Python and Jupyter Notebook for data-related tasks (it166_wildfires, it166_ice projects).
Demonstrated interest in data science through the target role and relevant personal projects.
Experience with various programming languages (Java, C++, JavaScript, Python, TypeScript) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate has a diverse set of personal projects, indicating a proactive and self-driven learning approach. The current role as 'Data Scientist' aligns with the target role, suggesting a clear career path. However, the lack of detailed descriptions for projects and experience makes it difficult to fully assess cultural fit beyond a general interest in technology and data.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ror2mod

December 5, 2025 – December 6, 2025

ror2mod — GitHub repository

View Project

epidemics

November 17, 2025 – November 19, 2025

repo for graph theory project focused on epidemics

View Project

audio_samples

October 25, 2025 – October 25, 2025

audio_samples — GitHub repository

View Project

it166_wildfires

November 7, 2024 – December 11, 2024

it166_wildfires — GitHub repository

View Project

it166_labs

August 29, 2024 – August 29, 2024

git repo for my isu it166 python labs

View Project

it166_ice

August 29, 2024 – September 18, 2024

repo for my isu it166 ice assignments

View Project

Cs2Final

May 3, 2023 – May 3, 2023

Cs2Final — GitHub repository

View Project

essAI-writer

April 8, 2022 – April 15, 2022

essAI-writer — GitHub repository

View Project

caps-placeholder

September 19, 2021 – May 9, 2022

caps-placeholder — GitHub repository

View Project

CourseSelection

March 19, 2020 – January 5, 2023

Course Selection

View Project

Key Strengths

Exposure to Python and Jupyter Notebook for data-related tasks (it166_wildfires, it166_ice projects).
Demonstrated interest in data science through the target role and relevant personal projects.
Experience with various programming languages (Java, C++, JavaScript, Python, TypeScript) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Marcello P.

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit