Nilay Kamat

Data Scientist

https://talent.gravityer.com/nilay-kamat

I am Nilay, currently an Uber SWE Intern and ex-Google SWE Intern. Also a 5th year CSE undergraduate at International IIIT-Bangalore.

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in Data Science through projects like 'Road-Extraction-Models', 'ResearchPaperRecommendationSystem', and 'Map-Analytics'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to various programming languages (Dart, C++, Swift, Go, Java, JavaScript, Python, Shell) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a proactive learning approach. The diversity of technologies used across projects (from mobile development to containerization and data science) suggests a broad interest, which could be a good cultural fit for a dynamic environment. However, the 'Data Scientist' target role requires a deeper specialization in data science, machine learning, and statistical modeling, which is only partially reflected in the current projects. The lack of professional experience or team-based projects makes it difficult to assess collaboration and team fit.

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

Rootful-And-Rootless-Contrast

September 1, 2025 – October 16, 2025

A comprehensive benchmarking and security evaluation framework for comparing rootful vs rootless containers (Docker & Podman) using real workloads and system metrics.

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SPE_Final_Project

November 17, 2024 – December 10, 2024

Final course project for Software Project Engineering

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Calculator

September 24, 2024 – September 24, 2024

Calculator — GitHub repository

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SPE-MiniProject

September 23, 2024 – October 14, 2024

SPE-MiniProject — GitHub repository

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Road-Extraction-Models

August 16, 2024 – November 23, 2024

Road-Extraction-Models — GitHub repository

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ResearchPaperRecommendationSystem

May 8, 2024 – May 19, 2024

ResearchPaperRecommendationSystem — GitHub repository

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Visual-Question-Answering

May 6, 2024 – November 17, 2024

This repository comprises of the project files that were done as part of the course Visual Recognition.

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VRProjTemp

May 3, 2024 – May 3, 2024

VRProjTemp — GitHub repository

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Map-Analytics

February 15, 2024 – June 13, 2024

Map-Analytics — GitHub repository

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Ireo

August 6, 2022 – August 29, 2022

Ireo — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through projects like 'Road-Extraction-Models', 'ResearchPaperRecommendationSystem', and 'Map-Analytics'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to various programming languages (Dart, C++, Swift, Go, Java, JavaScript, Python, Shell) indicates adaptability.

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.

Nilay Kamat

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit