Aarunish Sinha
Data ScientistSDE, JLR
JLR
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SDE, JLR
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
JLR
Data Scientist
June 19, 2026 – Present
Distributed-Enrollment-Engine
March 6, 2026 – Present
Distributed-Enrollment-Engine — GitHub repository
View ProjectDistributed-High-Concurrency-Enrolment-Engine
March 6, 2026 – Present
Distributed-High-Concurrency-Enrolment-Engine — GitHub repository
View ProjectSKFR-Python
October 17, 2021 – November 20, 2021
Simple and Scalable Sparse k-means Clustering via Feature Ranking
View ProjectNaive-Bayes-and-SVM
October 17, 2021 – October 17, 2021
Created a Text Classifier using Naive Bayes and an Image Classifier using Support Vector Machines
View Projectaarunishsinha.github.io
August 16, 2021 – August 16, 2021
aarunishsinha.github.io — GitHub repository
View ProjectCourse-Management-System
April 7, 2021 – November 27, 2021
A Course Management System for The University of Wisconsin Madison. Done as a project in the COL362: Introductio to DBMS course at IIT Delhi
View ProjectTraffic-density-estimation-using-OpenCV-functions
February 17, 2021 – April 3, 2021
COP290 - Design Practices
View ProjectBasic-Cryptanalysis-and-Encryption
February 16, 2021 – March 21, 2021
Basic Cryptanalysis, Birthday Attack and Cracking RSA
View ProjectCultural Fit Analysis
The candidate's projects show a breadth of technical interests, including web development, database management, and algorithms, in addition to data science. This indicates a versatile individual, but the direct alignment with a dedicated Data Scientist role's typical project focus could be stronger. The single listed professional experience as 'Data Scientist' at JLR is current, but without details, it's hard to assess its depth or cultural alignment. The experience level is 0, suggesting this is an entry-level or very early career role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.