Dhairya Gupta

Data Scientist

https://talent.gravityer.com/dhairya-gupta-1

Full Stack Developer | AI/ML Engineer | Trying all programing domains

Member since June 29, 2026

Key Strengths

Demonstrated interest in Data Structures and Algorithms (DSA) through a dedicated GitHub repository.
Experience with Python, a core language for Data Science, evidenced by multiple personal projects.
Exposure to C++ and CMake, indicating a foundational understanding of performance-oriented programming and build systems.
Familiarity with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

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

ghas-ex1

February 16, 2026 – Present

Part of GH-500 training

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DSA

April 5, 2025 – April 5, 2025

DSA — GitHub repository

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yt-timestamper

March 18, 2025 – March 18, 2025

yt-timestamper — GitHub repository

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sibyl-system

February 8, 2025 – February 8, 2025

sibyl-system — GitHub repository

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log-keys

February 2, 2025 – February 2, 2025

log-keys — GitHub repository

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cxx-cmake-template

February 2, 2025 – February 2, 2025

cxx-cmake-template — GitHub repository

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Advent-of-code

December 10, 2024 – December 13, 2025

My Solutions to the yearly AoC puzzles

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better-namespaces

April 28, 2024 – March 1, 2025

Python utility to group imports or defined objects under similar namespaces

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Head-First-Design-Patterns

August 2, 2023 – March 19, 2025

Design Patterns from the Book 'Head First Design Patterns' implemented in C++ and Python

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DecentraliDrones

December 20, 2022 – December 11, 2023

A Decentralized, Fully Autonomous Drone Delivery System for Reliable, Efficient Transport of Goods

View Project

Key Strengths

Demonstrated interest in Data Structures and Algorithms (DSA) through a dedicated GitHub repository.
Experience with Python, a core language for Data Science, evidenced by multiple personal projects.
Exposure to C++ and CMake, indicating a foundational understanding of performance-oriented programming and build systems.
Familiarity with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong inclination towards self-learning and exploration across various programming paradigms (DSA, Design Patterns, web technologies, system utilities). While this shows initiative, the direct alignment with a 'Data Scientist' role is moderate. Many projects are general software development or competitive programming focused rather than specific data science applications (e.g., machine learning models, statistical analysis, data engineering). The diversity of technologies (C++, Python, JavaScript, HTML, CSS, Shell, CMake, TeX) indicates a broad technical curiosity, but also a potential lack of deep specialization in data science tools and methodologies.

Soft Skills & Operational Fit

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

Dhairya Gupta

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit