Chris Dias

Data Scientist

https://talent.gravityer.com/chris-dias

Mumbai, Maharashtra, IndiaMember since June 14, 2026

Key Strengths

Demonstrated interest in AI/ML through projects like 'AI_Agents_Workshop' and 'agenticai'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to various programming languages (Python, JavaScript, C++, Dart, Swift) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration across various technologies, including AI/ML, web development, and data structures. This indicates a proactive and self-driven individual. However, the projects are primarily personal and lack detailed descriptions of collaboration or team-based work, making it difficult to fully assess cultural fit in a team environment. The breadth of technologies suggests a willingness to learn and adapt, which is a positive for cultural fit.

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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Assessing your cultural and operational fit

Projects

AI_Agents_Workshop

April 14, 2026 – Present

AI_Agents_Workshop — GitHub repository

View Project

agenticai

July 6, 2025 – July 7, 2025

agenticai — GitHub repository

View Project

dsa_2

August 30, 2023 – August 30, 2023

dsa_2 — GitHub repository

View Project

gittutorial

June 13, 2023 – June 13, 2023

gittutorial — GitHub repository

View Project

pythonlab

April 29, 2023 – May 2, 2023

pythonlab — GitHub repository

View Project

Surakshak

April 15, 2023 – November 5, 2024

Surakshak — GitHub repository

View Project

python_miniproject

March 12, 2023 – April 13, 2023

python_miniproject — GitHub repository

View Project

work-connect-client

February 10, 2023 – February 12, 2023

work-connect-client — GitHub repository

View Project

work-connect-server

February 10, 2023 – February 12, 2023

work-connect-server — GitHub repository

View Project

UniEx_backend-

December 7, 2022 – October 27, 2024

UniEx_backend- — GitHub repository

View Project

Key Strengths

Demonstrated interest in AI/ML through projects like 'AI_Agents_Workshop' and 'agenticai'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to various programming languages (Python, JavaScript, C++, Dart, Swift) indicates adaptability.

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.

Chris Dias

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit