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Caterpillar
Data Scientist
June 18, 2026 – Present
dl_blogs
October 7, 2023 – September 27, 2025
Mini Projects, Blogs about Deep Learning, focussed on Self-driving vehicles
View ProjectNeural-Network-Optimization-Techniques
October 16, 2022 – May 28, 2023
Repo containing Notebooks, scripts related to Neural Optimization course on thinkautonomous.ai
View ProjectSemantic-Segmentation-using-Deep-Learning
June 2, 2022 – May 28, 2023
Repo containing content for thinkautonomous image segmentation course
View ProjectSORT_resources
April 25, 2022 – May 2, 2022
References to implementation of SORT algorithm
View ProjecthungarianAlgorithm
March 19, 2022 – April 25, 2022
C++implementation of Hungarian algorithm for Assignment problem
View Projectsj-sandbox
January 10, 2021 – October 13, 2025
Sandbox repository for personal projects, focussed on Perception. Computer Vision applications
View ProjectLyft_Motion_Prediction_kaggle
September 7, 2020 – November 22, 2020
Repo for the Kaggle competition - Level 5 Lyft Motion prediction
View ProjectSFNLF-edX
August 12, 2020 – August 12, 2020
Repo for Sensor Fusion and Non linear filtering course from Chalmers University, edX
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and academic, focusing heavily on deep learning, computer vision, and autonomous driving. While this demonstrates strong technical interest, the breadth of projects outside this specific niche is limited. The single professional experience as a Data Scientist at Caterpillar is current but lacks detail regarding responsibilities and impact, making it difficult to fully assess alignment with diverse data science challenges or team collaboration aspects. The candidate's experience level is listed as 0, which contradicts the current role at Caterpillar, suggesting a potential data discrepancy or very recent entry into the role. This limits the ability to fully assess cultural fit for a senior role requiring broader industry exposure or diverse problem-solving skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.