Rutuja Gurav

Data Scientist

https://talent.gravityer.com/rutuja-gurav

ESRI R&D Center

Key Strengths

Demonstrated proficiency in Python for data science tasks.
Extensive experience with Jupyter Notebook for data exploration and model development.
Practical experience in machine learning, including classification, clustering, and segmentation.
Familiarity with deep learning concepts and transfer learning.
Experience with scientific computing libraries like scikit-learn.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in data science and machine learning. The current role as a Data Scientist at ESRI R&D Center aligns well with the target role. However, the project diversity, while focused on data science, lacks explicit collaboration or team-oriented projects, which could indicate a preference for individual contributions. The breadth of skills is concentrated within Python and data science tools, with less evidence of broader software engineering or deployment skills.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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

wildfire_burn_scars_segmentation

November 1, 2025 – November 7, 2025

Wildfire Burn Scars Segmentation using pre-trained SegFormer Models

View Project

cookiecutterdl4r

October 30, 2025 – November 1, 2025

A cookie-cutter DL project template that I prefer

View Project

my-iris-demo

October 26, 2025 – October 28, 2025

Idiot's demo of Iris flower classification

View Project

MatrixProfile4GWsearch

April 22, 2024 – April 22, 2024

Searching for gravitational waves using timeseries joins with the matrix profile

View Project

rutujagurav.github.io

April 15, 2024 – November 15, 2025

My Personal Website

View Project

pyparfor

October 8, 2023 – October 28, 2023

Embarassingly Parallel For Loops in Python: Joblib Demo

View Project

clfutils4r

July 17, 2023 – May 3, 2024

Wrapper around some basic sklearn and scikit-plot utilities for classification

View Project

clustutils4r

July 13, 2023 – April 19, 2024

Wrapper around some basic sklearn utilities for clustering

View Project

sam4crops

June 21, 2023 – June 14, 2024

Quantifying SAM's performance on multi-class segmentation using clustering consensus metrics

View Project

10-Monkey-Species-Classification-Transfer-Learning

January 28, 2019 – June 27, 2024

Multi-class classification of 10 species of monkeys using Transfer Learning

View Project

Key Strengths

Demonstrated proficiency in Python for data science tasks.
Extensive experience with Jupyter Notebook for data exploration and model development.
Practical experience in machine learning, including classification, clustering, and segmentation.
Familiarity with deep learning concepts and transfer learning.
Experience with scientific computing libraries like scikit-learn.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Rutuja Gurav

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit