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ruthvik raja | Gravity Talent Portal

ruthvik raja

ruthvik raja

Data Scientist

https://talent.gravityer.com/ruthvik-raja

Hello !!

Member since June 23, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://talent.gravityer.com/ruthvik-raja

Top Skills

Jupyter Notebook

Skills

Jupyter Notebook

Projects

Python-Code-on-Home-Insurance-Dataset

June 19, 2022 – June 19, 2022

Python-Code-on-Home-Insurance-Dataset — repository

OT-Project

April 10, 2022 – April 10, 2022

OT-Project — repository

Optimization-Algorithms

March 24, 2022 – March 24, 2022

Optimization-Algorithms — repository

Bias-Variance

February 10, 2022 – February 10, 2022

Bias-Variance — repository

Customer-Churn-Prediction

December 26, 2021 – December 26, 2021

Customer-Churn-Prediction — repository

-

October 26, 2021 – October 26, 2021

- — repository

Stock-Market-Price-Prediction-using-Supervised-Learning

August 15, 2021 – September 10, 2021

Stock-Market-Price-Prediction-using-Supervised-Learning — repository

A-review-on-deriving-useful-parameters-that-may-affect-the-harvest-of-an-apple-using-Supervised-Lear

July 30, 2021 – July 30, 2021

A-review-on-deriving-useful-parameters-that-may-affect-the-harvest-of-an-apple-using-Supervised-Lear — repository

Identifying-Suspicious-URLs-using-Supervised-Learning-and-Lexical-Analysis

July 30, 2021 – July 30, 2021

Identifying-Suspicious-URLs-using-Supervised-Learning-and-Lexical-Analysis — repository

DT

May 26, 2021 – May 26, 2021

Sample DataSet

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with supervised learning techniques.
Familiarity with Jupyter Notebook for data analysis and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards data science through a variety of personal projects, indicating self-motivation and a proactive learning approach. The projects cover different applications of supervised learning, suggesting a breadth of interest within the field. However, the lack of team-based projects or detailed descriptions makes it difficult to assess collaboration or broader cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or detailed experience descriptions are available.