Rajat Krishna

Data Scientist

https://talent.gravityer.com/rajat-krishna

FloridaMember since June 29, 2026

Key Strengths

Demonstrated interest in Machine Learning and NLP through projects like 'chat-llama3' and 'nlp-benchspark'.
Experience with Python, a core language for Data Science.
Familiarity with containerization (Dockerfile) which is beneficial for deployment and reproducibility in ML workflows.
Exposure to Spark NLP indicates an understanding of scalable NLP processing.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate initiative in exploring various technologies. The diversity of projects, including web development (Covid-19-Dashboard) and system utilities (my-dotfiles), suggests a broad interest, but also a potential lack of deep specialization in Data Science specific areas. The 'google-summer-of-code' project, while lacking description, implies engagement with open-source communities. However, the overall project portfolio, while technically diverse, does not strongly align with a senior Data Scientist role's typical depth and focus on complex model development, deployment, and business impact.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

my-dotfiles

August 9, 2025 – August 21, 2025

my-dotfiles — GitHub repository

View Project

chat-llama3

April 23, 2024 – September 8, 2024

Local LLama3 Inference with OpenVINO

View Project

sql-parse

March 20, 2024 – March 21, 2024

Simple Python SQL Parser.

View Project

nlp-benchspark

March 7, 2024 – June 10, 2024

Benchmark inference of custom and pre-trained NLP models with Spark NLP.

View Project

openvino-java

February 23, 2024 – February 23, 2024

Docker image for OpenVINO Java API.

View Project

google-summer-of-code

August 27, 2023 – December 19, 2023

google-summer-of-code — GitHub repository

View Project

Covid-19-Dashboard

September 24, 2020 – October 15, 2020

Covid-19-Dashboard — GitHub repository

View Project

Key Strengths

Demonstrated interest in Machine Learning and NLP through projects like 'chat-llama3' and 'nlp-benchspark'.
Experience with Python, a core language for Data Science.
Familiarity with containerization (Dockerfile) which is beneficial for deployment and reproducibility in ML workflows.
Exposure to Spark NLP indicates an understanding of scalable NLP processing.

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 are available.

Rajat Krishna

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit