Rishabh Jain

Frontend Developer

https://www.opentalent.in/rishabh-jain-6

New Delhi, Delhi, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in machine learning and deep learning through projects like Facial-Expression-Recognition and Maintenance-prediction.
Experience with core programming languages such as Python, Java, and C++.
Exposure to Android application development with projects like MyGames and Nnews.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, showcasing a breadth of interests from machine learning to game development and competitive coding. This indicates a self-driven individual with diverse technical curiosity. However, the projects do not strongly align with a dedicated 'Frontend Developer' role, as there is limited explicit frontend-specific work beyond basic HTML/JavaScript mentioned in 'Lab-Work'. The diversity of projects suggests adaptability, but also a potential lack of focused experience in a specific domain.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Projects

Competitive-Coding

March 30, 2019 – June 15, 2019

Competitive-Coding-Tracker

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Cheatsheet

March 16, 2019 – March 17, 2019

Cheatsheet — GitHub repository

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CART

April 18, 2018 – May 17, 2018

Python implementation of Classification and Regression Tree (CART Algorithm)

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Facial-Expression-Recognition-tensorflow

January 30, 2018 – April 1, 2018

Classify each facial image into one of the seven facial emotion categories considered using CNN coded in tensorflow

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Facial-Expression-Recognition

November 12, 2017 – September 30, 2020

Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge

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BiddingTicTacToe

June 28, 2017 – March 10, 2021

Bidding Tic-Tac-Toe is a modified version of the regular Tic-Tac-Toe where players bid to make their move on the board.

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MyGames

March 18, 2017 – July 16, 2017

Implemented various small games in Android

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Lab-Work

January 10, 2017 – February 23, 2017

DTU course lab work

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Maintenance-prediction

December 29, 2016 – October 4, 2017

Predict the change in particular software over a period of time depending upon Object oriented metrics using different ML models

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Nnews

July 11, 2016 – March 29, 2017

Nnews is android application to display news. Aplication make use NYtimes API to fetch data for displaying and storing news.

View Project

Key Strengths

Demonstrated interest in machine learning and deep learning through projects like Facial-Expression-Recognition and Maintenance-prediction.
Experience with core programming languages such as Python, Java, and C++.
Exposure to Android application development with projects like MyGames and Nnews.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Rishabh Jain

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit