Chandu Bolisetti

Data Scientist

https://talent.gravityer.com/chandu-bolisetti

Idaho National Laboratory

Key Strengths

Experience as a Data Scientist at Idaho National Laboratory, indicating direct relevance to the target role.
Demonstrated proficiency in Python, a core language for Data Science, across multiple projects.
Exposure to scientific computing and simulation frameworks (MOOSE) through projects like 'mastodon' and 'multiappfracflow'.
Experience with Jupyter Notebooks, essential for data exploration and model development in Data Science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic/research-oriented, focusing on scientific computing and simulation. While demonstrating technical depth, there is limited evidence of diverse team collaboration or broader industry application beyond research environments. The current role as a Data Scientist at a national laboratory aligns with a research-focused culture.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ACCERT

April 5, 2023 – Present

The Algorithm for the Capital Cost Estimation of Reactor Technologies (ACCERT)

View Project

farms

November 9, 2022 – Present

farms — GitHub repository

View Project

multiappfracflow

April 29, 2021 – July 11, 2021

multiappfracflow — GitHub repository

View Project

cbolisetti.github.io

March 27, 2018 – March 27, 2018

Chandu Bolisetti's Website

View Project

mastodon

September 18, 2017 – Present

A MOOSE app for structural dynamics, seismic analysis, and risk assessment.

View Project

Key Strengths

Experience as a Data Scientist at Idaho National Laboratory, indicating direct relevance to the target role.
Demonstrated proficiency in Python, a core language for Data Science, across multiple projects.
Exposure to scientific computing and simulation frameworks (MOOSE) through projects like 'mastodon' and 'multiappfracflow'.
Experience with Jupyter Notebooks, essential for data exploration and model development in Data Science.

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.

Chandu Bolisetti

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit