Yash Gangrade

Data Scientist

https://talent.gravityer.com/yash-gangrade

School of Computing

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (e.g., 'Compression-of-Neural-Networks', 'Provable-Topic-Models-', 'course-recommendation', 'Visualization-for-Data-Science', 'Generative-Adversarial-Networks').
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various machine learning concepts like neural network compression, topic models, and GANs.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science and related fields. The diversity of projects, from head motion tracking to home automation, indicates a broad interest in technology. However, the 'experienceLevel' is 0, and the only listed experience is a current 'Data Scientist' role starting in 2026, which appears to be a future or placeholder entry, making it difficult to assess real-world team collaboration or professional work ethic. The projects are primarily personal, which is common for entry-level candidates, but for a senior role, more collaborative or industry-relevant projects would be expected.

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

testingRepo2

September 27, 2024 – September 27, 2024

testingRepo2 — GitHub repository

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testingRepo

September 27, 2024 – September 27, 2024

testingRepo — GitHub repository

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Visualization-for-Data-Science

September 12, 2018 – January 4, 2019

All the projects, homeworks, and lectures from Visualization for Data Science (CS 6630) course at School of Computing, University of Utah. Supervisor. Dr. Alexander Lex

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Compression-of-Neural-Networks

May 2, 2018 – November 26, 2018

Implementation of the Paper on Soft Weight Sharing for Neural Networks Compression (https://arxiv.org/pdf/1702.04008.pdf)

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Generative-Adversarial-Networks---Independent-Study

February 19, 2018 – April 2, 2018

Generative-Adversarial-Networks---Independent-Study — GitHub repository

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Provable-Topic-Models-

December 27, 2017 – November 26, 2018

Advanced Algorithms project with Dr. Aditya Bhaskara - Sem 1

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course-recommendation

March 24, 2017 – March 26, 2017

course-recommendation — GitHub repository

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Channel_equalization

March 17, 2016 – March 17, 2016

matlab implementation

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SMARTHOME

January 16, 2016 – July 16, 2016

Open-source home automation platform for Android and Web

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head-motion-tracking

March 5, 2015 – October 9, 2018

Head motion detection and tracking with application in Gaming control

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Key Strengths

Demonstrated interest in Data Science through multiple personal projects (e.g., 'Compression-of-Neural-Networks', 'Provable-Topic-Models-', 'course-recommendation', 'Visualization-for-Data-Science', 'Generative-Adversarial-Networks').
Experience with Python and Jupyter Notebook, which are core tools in Data Science.
Exposure to various machine learning concepts like neural network compression, topic models, and GANs.

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.

Yash Gangrade

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit