Gayatri

Data Scientist

https://www.opentalent.in/gayatri-1

Hey! An undergraduate researcher in Artificial Intelligence, Decision Theory and Linguistics. ML Engineer and student of Mathematics and Chaos Theory

Bengaluru, India

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'Predictive_Analytics' and 'RAG-for-educators'.
Proficiency in Python, a core language for Data Scientists, evidenced across multiple projects.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to diverse technologies including C++, Shell, HTML, CSS, and JavaScript, indicating a broad technical foundation.

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

From-Rage-to-Refusal

May 26, 2026 – Present

From-Rage-to-Refusal — GitHub repository

View Project

entropic-forms

March 14, 2026 – Present

entropic-forms — GitHub repository

View Project

gene-explorer

July 10, 2025 – July 10, 2025

gene-explorer — GitHub repository

View Project

Packet_Filtering_Benchmark

June 18, 2025 – June 18, 2025

Packet_Filtering_Benchmark — GitHub repository

View Project

Arcadia_EduAIthon

May 18, 2025 – May 18, 2025

Arcadia_EduAIthon — GitHub repository

View Project

IDP

May 14, 2025 – July 7, 2025

IDP — GitHub repository

View Project

RAG-for-educators

April 5, 2025 – July 10, 2025

RAG-for-educators — GitHub repository

View Project

Interdepartmental-

April 5, 2025 – April 5, 2025

Interdepartmental- — GitHub repository

View Project

httrack

February 27, 2024 – March 24, 2024

httrack — GitHub repository

View Project

Predictive_Analytics

November 19, 2022 – November 23, 2022

Predictive_Analytics — GitHub repository

View Project

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'Predictive_Analytics' and 'RAG-for-educators'.
Proficiency in Python, a core language for Data Scientists, evidenced across multiple projects.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to diverse technologies including C++, Shell, HTML, CSS, and JavaScript, indicating a broad technical foundation.

Cultural Fit Analysis

The candidate shows a strong inclination towards personal projects, many of which align with data science and AI/ML domains. The diversity of technologies used across projects suggests adaptability and a willingness to explore different tools. However, without information on collaborative projects or professional experience, assessing cultural fit for a team environment is challenging.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's profile lacks details on work experience, team collaboration, or communication styles. Psychometric test results are not available.

Gayatri

Key Strengths

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit