Mayank Shrivastava

Data Scientist

https://talent.gravityer.com/mayank-shrivastava-1

IIT Kanpur Electrical Engineering

Kanpur, Uttar Pradesh, India

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'HGVAE' and 'LLM-Box'.
Proficiency in Python, a core language for Data Scientists.
Experience with Jupyter Notebooks for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards research and development in machine learning and data assimilation, which aligns with an innovative and problem-solving culture. The diversity of projects, from web development to scientific computing, indicates adaptability and a broad interest in technology. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

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

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Projects

uai_results

April 29, 2026 – Present

uai_results — GitHub repository

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rare_event_rewards

March 10, 2026 – Present

rare_event_rewards — GitHub repository

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soc_uai

February 26, 2026 – Present

soc_uai — GitHub repository

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DataAssimilation

October 22, 2025 – Present

A barebones implementation of data assimilation for navier stokes

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hessian_test

April 18, 2024 – April 22, 2024

hessian_test — GitHub repository

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food_distribution_app

January 3, 2024 – January 3, 2024

food_distribution_app — GitHub repository

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LLM-Box

October 11, 2023 – December 2, 2023

LLM-Box — GitHub repository

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mayank010698.github.io

September 16, 2023 – Present

mayank010698.github.io — GitHub repository

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old_website

February 24, 2020 – February 27, 2020

old_website — GitHub repository

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HGVAE

November 24, 2019 – December 29, 2020

code for the paper "towards meaningful physics from generative models"

View Project

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'HGVAE' and 'LLM-Box'.
Proficiency in Python, a core language for Data Scientists.
Experience with Jupyter Notebooks for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Mayank Shrivastava

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit