Shashank Shrivastava

Data Scientist

https://www.opentalent.in/shashank-shrivastava-1

Bengaluru, Karnataka, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'doc-focus-time', 'ML-Coding', and 'Finetune-FlanT5'.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks for data exploration and model development.
Exposure to advanced ML concepts such as fine-tuning large language models (Flan-T5).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, indicating a self-driven learning approach. The diversity of projects, while focused on ML/Data Science, suggests an exploratory mindset. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit for a collaborative senior role.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ML-Coding

September 14, 2024 – October 1, 2024

ML Coding interview topics

View Project

Tutorials

September 13, 2024 – October 1, 2024

Tutorials

View Project

Thesis

December 13, 2018 – December 13, 2018

Thesis — GitHub repository

View Project

PyTorch-Revamp

July 27, 2017 – October 3, 2023

PyTorch-Revamp — GitHub repository

View Project

TextTime

July 27, 2017 – July 27, 2017

TextTime — GitHub repository

View Project

MIke_Paper

July 27, 2017 – July 27, 2017

MIke_Paper — GitHub repository

View Project

Finetune-FlanT5

December 23, 2016 – September 8, 2023

Fine-Tuning Flan-T5 for classification task

View Project

doc-focus-time

November 24, 2016 – November 24, 2016

Graph based method for estimating document focus time

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'doc-focus-time', 'ML-Coding', and 'Finetune-FlanT5'.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks for data exploration and model development.
Exposure to advanced ML concepts such as fine-tuning large language models (Flan-T5).

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.

Shashank Shrivastava

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit