Rahul Wadbude

Data Scientist

https://www.opentalent.in/rahul-wadbude

Member since June 19, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'MLT-Classifier' and 'UGP' (Machine Learning Kernels).
Experience with Python and Matlab, which are relevant for data science roles.
Exposure to Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, including a social media replication and machine learning kernels, indicates a broad interest in software development and data science. However, without professional experience or more detailed project descriptions, it's difficult to fully assess alignment with a specific company culture.

Soft Skills & Operational Fit

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

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

fb.com

April 5, 2017 – April 15, 2017

This is a software replicating a subset of features of facebook.

View Project

warahul.github.io

December 7, 2016 – March 17, 2018

warahul.github.io — GitHub repository

View Project

warahul

December 7, 2016 – December 7, 2016

warahul — GitHub repository

View Project

UBR

December 7, 2016 – May 7, 2020

UBR — GitHub repository

View Project

MLT-Classifier

April 6, 2016 – December 15, 2016

MLT-Classifier — GitHub repository

View Project

UGP

February 22, 2016 – April 20, 2016

Machine Learning Kernels

View Project

cs335-project1

January 17, 2016 – January 17, 2016

cs335-project1 — GitHub repository

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like 'MLT-Classifier' and 'UGP' (Machine Learning Kernels).
Experience with Python and Matlab, which are relevant for data science roles.
Exposure to Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Rahul Wadbude

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit