Tushar Anand

Data Scientist

https://talent.gravityer.com/tushar-anand-2

Bengaluru, Karnataka, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in fundamental machine learning algorithms (KNN, Logistic Regression, Linear Regression).
Experience with Jupyter Notebook for data science tasks.
Participation in a hackathon (Singapore India Hackathon 2019) indicates a proactive approach to problem-solving.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a focus on individual machine learning algorithm implementations and a hackathon project. This indicates a self-starter attitude and an interest in practical application. However, the lack of team-based projects or detailed descriptions of collaboration makes it difficult to fully assess cultural fit beyond a general interest in technical challenges.

Soft Skills & Operational Fit

The provided data is insufficient to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

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Projects

storynew

January 10, 2021 – December 10, 2021

storynew — GitHub repository

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BinIT

September 24, 2019 – November 15, 2019

BinIT is the software-hardware project made as a part of Singapore India Hackathon 2019.

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DS-Algo

September 4, 2019 – September 4, 2019

Make your first PR! ~ A beginner friendly repository made specifically for open source beginners. Add any program under any language (it can be anything from a hello-world program to a complex data structure algorithm) or update the existing one. Just make sure you add the program under the correct language directory. Happy codingImplementation of specific algorithms and data structure used and problem based on that algorithms(C++/JAVA/PYTHON)

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MNIST-using-KNN