AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to various AI/ML related projects (LLM4ADR, AgenticADREvaluation, ArchEval, DRAFT, RL_project, disaster_encouragement), indicating interest and foundational knowledge in the target role's domain.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal exploration in AI/ML, which aligns with a research-oriented or innovative data science culture. The diversity of project topics suggests adaptability and a willingness to explore different problem domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural fit.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Adyansh Kakran

Data Scientist

https://www.opentalent.in/adyansh-kakran

CSD Undergrad at IIIT Hyderabad. I am proficient in Java, C++, Python, HTML, CSS, and Javascript and actively learning web development.

Hyderabad, IndiaMember since June 13, 2026

https://www.opentalent.in/adyansh-kakran

Top Skills

C++Jupyter NotebookPythonHTMLDockerfileShellPureBasictypescriptJavaScript

Skills

C++Jupyter NotebookPythonHTMLDockerfileShellPureBasictypescriptJavaScript

Projects

AgenticADREvaluation

May 6, 2026 – Present

AgenticADREvaluation — GitHub repository

View Project

ArchEval

February 11, 2026 – Present

ArchEval — GitHub repository

View Project

DRAFT

August 28, 2025 – Present

DRAFT — GitHub repository

disaster_encouragement

March 25, 2025 – May 3, 2025

disaster_encouragement — GitHub repository

View Project

SE_Project_3

April 16, 2024 – April 25, 2024

Team 20 SE Project 3 - Phoenix Auto Backup System

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to various AI/ML related projects (LLM4ADR, AgenticADREvaluation, ArchEval, DRAFT, RL_project, disaster_encouragement), indicating interest and foundational knowledge in the target role's domain.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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