Nimish Khurana

Data Scientist

https://talent.gravityer.com/nimish-khurana

Pursuing B.E. CSE at UIET, Panjab University

Chandigarh, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'Linear-Regression' and 'Dog-Breed-Classifier'.
Experience with Python, a core language for Data Science.
Exposure to web development technologies (HTML, CSS, JavaScript, Flask) which can be beneficial for deploying data science models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a diverse range of interests, from mobile app development (Java) to competitive programming (C++) and web development, alongside data science projects. This breadth suggests adaptability and a willingness to explore different technical domains. The participation in a hackathon ('HireBot') indicates a collaborative spirit and ability to work under pressure, which are positive indicators for cultural fit. However, the projects are all personal, and there's no information on team dynamics or professional work environments.

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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Projects

DevelopersMeet

August 10, 2020 – August 10, 2020

Website to help Developers connect

View Project

HireBot

September 16, 2019 – June 22, 2020

HireBot - Eduwaive Foundation Internal Hackathon Winning Project

View Project

Data-Structures-Algorithms

July 25, 2019 – July 25, 2019

Implementation of Data Structres and Some algorithms

View Project

Dog-Breed-Classifier

February 6, 2019 – June 3, 2020

Flask web app to predict the breed of dog using Deep Learning VGG16 and Densenet121 models.

View Project

Data-Structures

December 6, 2018 – July 29, 2020

Implementation of Data Structures and Competitive Programming Questions in C++

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InventoryApp

September 30, 2018 – November 1, 2018

Android App to manage Products for Bussiness

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Linear-Regression

August 27, 2018 – November 1, 2018

Implementation of Linear Regression from Scratch in Python(NumPy)

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Equity-Trading-Portfolio-Manager

June 16, 2018 – November 1, 2018

This repository is about searching for stock prices of different companies , comparing them and live update of data. A part of a website (live updates) has been provided alongside.

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WhatsappClone

April 8, 2018 – April 8, 2018

WhatsappClone — GitHub repository

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SportsQuiz

March 29, 2018 – June 4, 2018

A simple Sports Quiz App (as part pf Udacity Google India Scholarship )

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'Linear-Regression' and 'Dog-Breed-Classifier'.
Experience with Python, a core language for Data Science.
Exposure to web development technologies (HTML, CSS, JavaScript, Flask) which can be beneficial for deploying data science models.

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.

Nimish Khurana

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit