Yash Jain

Data Scientist

https://talent.gravityer.com/yash-jain-8

Senior Software Engineer

Swiggy

Key Strengths

Experience in Data Science role at Swiggy (though start date is in the future, indicating a potential future role or misentry).
Demonstrated interest in Data Science/Machine Learning through the 'Traffic-Sign-Recognition' project using Jupyter Notebook and Python.
Exposure to full-stack development concepts (MERN stack, front-end/back-end projects) indicating a broad technical foundation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a mix of web development (JavaScript, HTML, CSS) and some data science related projects (Python, Jupyter Notebook). While there's a stated target role of 'Data Scientist' and a future role at Swiggy in this capacity, the majority of personal projects lean towards web development. This suggests a broad interest but less focused depth in data science specifically within personal projects. The 'experienceLevel' is 0, which contradicts the stated 'Data Scientist' role at Swiggy, making it difficult to accurately assess cultural fit for a senior data scientist role without clarification.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

Movie-Rating-Project

March 5, 2020 – March 5, 2020

Movie-Rating-Project — GitHub repository

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LeetCode

February 10, 2020 – April 8, 2020

Leet code solutions

View Project

Anonymous

January 22, 2020 – January 23, 2020

Anonymous project

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Probation-back-end

September 26, 2019 – November 11, 2019

Backend for Probation Project

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Probation-Front-End

September 25, 2019 – January 5, 2021

Front for Probation project

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Catch-of-the-day

April 8, 2018 – April 9, 2018

Catch-of-the-day — GitHub repository

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ReactJS-Bereev

March 28, 2018 – May 21, 2019

ReactJS-Bereev — GitHub repository

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Forum

March 16, 2018 – December 7, 2022

Forum — GitHub repository

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Traffic-Sign-Recognition

October 31, 2017 – October 31, 2017

Traffic Sign Recognition is a technology by which a vehicle is able to recognise the traffic signs put on the road e.g. "speed limit" or "children" or "turn ahead". This is part of the features collectively called ADAS. The technology is being developed by many automotive suppliers, including Continental and Delphi. It uses Image processing techniques to detect the traffic signs. The detection methods can be generally divided into color based, shape based and learning based methods.

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MERN-Starter

September 16, 2017 – November 2, 2019

Starter Setup for MERN Stack

View Project

Key Strengths

Experience in Data Science role at Swiggy (though start date is in the future, indicating a potential future role or misentry).
Demonstrated interest in Data Science/Machine Learning through the 'Traffic-Sign-Recognition' project using Jupyter Notebook and Python.
Exposure to full-stack development concepts (MERN stack, front-end/back-end projects) indicating a broad technical foundation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Yash Jain

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit