Ayush Yajnik

Data Scientist

https://www.opentalent.in/ayush-yajnik

Think.Believe.Never Give Up.

New Delhi, Delhi, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Data Science and AI/ML through personal projects like 'RAG-App-Langchain-Groq', 'Face-recognition-app', and 'Recommendation_Engine'.
Proficiency in Python, a core language for Data Science, evident across multiple projects.
Experience with Jupyter Notebooks, a standard tool for data exploration and model development.
Exposure to various AI/ML concepts including RAG, face recognition, and recommendation systems.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Agentic_Pipelines_for_Autonomous_and_Aerial_Systems-

May 6, 2026 – Present

Agentic_Pipelines_for_Autonomous_and_Aerial_Systems- — GitHub repository

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capital-rx-prep

March 22, 2026 – Present

capital-rx-prep — GitHub repository

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EcoTrails

January 23, 2026 – Present

This repository tracks the product developmebt of EcoTrails using Gemini

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dbt

December 17, 2025 – Present

dbt — GitHub repository

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RAG-App-Langchain-Groq

December 8, 2025 – Present

RAG-App-Langchain-Groq — GitHub repository

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CrewAI

October 9, 2025 – October 24, 2025

This repo is for practicing CrewAI library to create Agentic AI based applications

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No-More-Lapses

March 22, 2025 – April 13, 2025

No-More-Lapses — GitHub repository

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data-structures

January 1, 2025 – June 25, 2025

This repository is dedicated for data structures practice in Python

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Recommendation_Engine

January 1, 2025 – January 12, 2025

Recommendation_Engine — GitHub repository

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Face-recognition-app

January 21, 2020 – January 21, 2020

Face-recognition-app — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and AI/ML through personal projects like 'RAG-App-Langchain-Groq', 'Face-recognition-app', and 'Recommendation_Engine'.
Proficiency in Python, a core language for Data Science, evident across multiple projects.
Experience with Jupyter Notebooks, a standard tool for data exploration and model development.
Exposure to various AI/ML concepts including RAG, face recognition, and recommendation systems.

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards self-learning and exploration in AI/ML, which could indicate a proactive and curious mindset. The diversity of project topics (RAG, face recognition, recommendation engines, agentic AI) suggests an openness to new technologies and problem domains. However, without information on collaborative projects or work experience, it's difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects.

Ayush Yajnik

Key Strengths

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit