chanduthedev

Data Scientist

https://talent.gravityer.com/chanduthedev

London, England, United KingdomMember since June 23, 2026

Key Strengths

Demonstrated interest in Machine Learning and LLMs through personal projects (langchain_practice, ML, mcp-demo, rag_apps, strands_agents, llms).
Proficiency in Python, a core language for Data Science.
Exposure to web technologies (HTML, CSS, JavaScript, PHP) which can be beneficial for deploying ML models or building data visualization dashboards.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which aligns with a culture of continuous improvement. The diversity of projects, from ML/LLM to web development, indicates a broad interest in technology. However, without professional experience or detailed project descriptions, it's difficult to fully assess cultural fit beyond a general enthusiasm for learning and building.

Soft Skills & Operational Fit

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

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Projects

infra_website

March 26, 2026 – Present

infra_website — repository

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strands_agents

November 11, 2025 – November 11, 2025

strands_agents — repository

View Project

ap_msme_smart_assist

October 21, 2025 – Present

ap_msme_smart_assist — repository

View Project

rag_apps

October 9, 2025 – October 10, 2025

RAG application demos

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langchain_practice

September 27, 2025 – September 27, 2025

langchain_practice — repository

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llms

September 20, 2025 – September 20, 2025

llms — repository

View Project

sandspace

July 19, 2025 – July 19, 2025

sandspace — repository

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mcp-demo

July 6, 2025 – July 6, 2025

This is to create Model Context Protocol (MCP) server and add some basic functionality to understand how MCP works and to get hands-on experience.

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yenoch

February 25, 2025 – November 10, 2025

yenoch — repository

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December 10, 2018 – June 19, 2020

ML practice projects

View Project

Key Strengths

Demonstrated interest in Machine Learning and LLMs through personal projects (langchain_practice, ML, mcp-demo, rag_apps, strands_agents, llms).
Proficiency in Python, a core language for Data Science.
Exposure to web technologies (HTML, CSS, JavaScript, PHP) which can be beneficial for deploying ML models or building data visualization dashboards.

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 provided.

chanduthedev

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit