Rishabh Saxena

Data Scientist

https://www.opentalent.in/rishabh-saxena-2

Delhi, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with various ML algorithms (regression, classification, clustering, Bayesian Linear Regression, Ant Colony Optimization).
Familiarity with Python and R for data analysis and model implementation.
Exposure to cloud platforms like AWS ML and Azure ML basics.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong individual initiative in exploring various data science and machine learning topics. The diversity of projects, from basic ML concepts to specific algorithms and cloud platform preparations, indicates a proactive learning approach. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.

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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Projects

AWSMLSpecialist

March 1, 2022 – March 1, 2022

AWSMLSpecialist — GitHub repository

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DP-100-Exam-Prepration

April 30, 2021 – July 12, 2021

My repo contains resources I used or created while I was preparing the Azure DP-100 Exam.

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Azure-ML-Basics

April 25, 2021 – April 25, 2021

Complete Files for azure ml basics

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ML-basics

April 18, 2021 – January 12, 2022

ML-basics — GitHub repository

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Time-Series_project

January 17, 2021 – January 17, 2021

Complete Time Series project in python

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IPL-Dataset-Work

December 15, 2020 – December 15, 2020

This projects includes how can we apply supervise learning and unsupervised learning to the IPL dataset. So for this, I have applied total 6 algorithms on this dataset. 2 each for regression, classification, and clustering.

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Enron-Email_Classifier

December 5, 2020 – December 5, 2020

This is complete analysis of Enron Email data in which I applied 2 model naive bayes and decision tree and compared both of them

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Bayesian-linear-regression

December 3, 2020 – December 3, 2020

In this, I have bayesian linear regression on movehub dataset which is available on kaggle. I analysed the results and shown how to use Bayesian Linear Regression Technic. Code is in python.

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Melbourne-Dataset-analysis

December 3, 2020 – January 12, 2021

This contains the analysis of melbourne house dataset in R.

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AntColonyOptimizationCode

August 28, 2020 – August 29, 2020

This is the complete implementation of ant colony optimization algorithm in python language.

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects.
Experience with various ML algorithms (regression, classification, clustering, Bayesian Linear Regression, Ant Colony Optimization).
Familiarity with Python and R for data analysis and model implementation.
Exposure to cloud platforms like AWS ML and Azure ML basics.

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.

Rishabh Saxena

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit