Key Strengths

Experience with Python and Jupyter Notebook for data-related tasks.
Demonstrated interest in computer vision and machine learning through the 'Automated-Fruit-Quality-Analysis-Using-Jetson-Nano' project.
Current role as a Data Scientist at Aventura, indicating direct relevance to the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a mix of data science and web development interests. While the 'Automated-Fruit-Quality-Analysis' project aligns well with a Data Scientist role, other projects like 'Chat_App', 'ToDo_App', 'Contact-Manager', and 'HydroSense' are primarily front-end web development, suggesting a broader interest set that may or may not align perfectly with a focused data science team culture. The current role as a Data Scientist at Aventura is a positive indicator for cultural fit within a data-driven environment.

Soft Skills & Operational Fit

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

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Ruben Davis Saji

Data Scientist

https://www.opentalent.in/ruben-davis-saji

SDE @ Aventura | Node.js, React,MongoDB| Exploring Tech

Aventura

IndiaMember since June 14, 2026

https://www.opentalent.in/ruben-davis-saji

Top Skills

Jupyter NotebookPythontypescriptCSSHTMLJavaScript

Skills

Jupyter NotebookPythontypescriptCSSHTMLJavaScript

Experience

Aventura

Data Scientist

June 14, 2026 – Present

Projects

Automated-Fruit-Quality-Analysis-Using-Jetson-Nano

May 5, 2025 – June 12, 2025

A real-time fruit quality assessment system built on the NVIDIA Jetson Nano platform that leverages computer vision and machine learning to classify and evaluate the freshness, ripeness, or defects in fruits. Designed for efficiency and edge deployment, the system uses a camera module for image acquisition .

View Project

HydroSense

March 19, 2025 – April 17, 2025

A web application that helps users track their water intake, monitor weather conditions, and find nearby water stations using real-time data.