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Rajath C S | Gravity Talent Portal

Rajath C S

Rajath C S

Data Scientist

https://talent.gravityer.com/rajath-c-s

Vision without action is a daydream. Action without vision is a nightmare.

Bengaluru, Karnataka, India

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Member since June 18, 2026

https://talent.gravityer.com/rajath-c-s

Top Skills

JavaScriptEJSPythonHTMLDockerfileShellBatchfileJupyter Notebook

Skills

JavaScriptEJSPythonHTMLDockerfileShellBatchfileJupyter Notebook

Projects

everything_Docker

October 3, 2023 – October 3, 2023

everything_Docker — GitHub repository

docker_basics

September 22, 2023 – September 22, 2023

docker_basics — GitHub repository

shell_scripting

September 22, 2023 – October 3, 2023

basics of shell scripting

hello-flask

August 27, 2023 – August 27, 2023

hello-flask — GitHub repository

framework_for_building_inverted_index_on_textual_data

April 8, 2022 – April 8, 2022

Wiki Search Inverted Index

fastAPI_upload_files

March 26, 2022 – March 26, 2022

A FastAPI web application that accepts a file upload and returns S3 url

LearnFastAPI_Todoapp

March 26, 2022 – March 26, 2022

A repo to understand the fundamentals of FastAPI framework by building a simple todo app

csc8851-deep_learning

December 10, 2021 – December 10, 2021

This repository contains the assignments and project work completed during the coursework of Deep Learning at Georgia State University

SP-AI-public

December 8, 2021 – December 8, 2021

defenses

rakesh-interview-prep-hackerrank

December 7, 2021 – December 7, 2021

rakesh-interview-prep-hackerrank

Key Strengths

Demonstrated interest in Deep Learning through coursework and projects.
Experience with Python, a core language for Data Science.
Familiarity with FastAPI and Docker, indicating potential for MLOps aspects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a proactive learning approach and interest in various technical areas, including data structures (inverted index), deep learning, and web frameworks. This indicates a potential for curiosity and self-driven learning, which can be a good cultural fit for dynamic environments. However, the projects are primarily personal and academic, lacking details on collaborative efforts or real-world impact.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.