Prasanth Selvamurugan

Data Scientist

https://talent.gravityer.com/prasanth-selvamurugan

Always Building

Chennai, Tamil Nadu, India

Key Strengths

Demonstrated interest and project experience in AI/ML, particularly in deepfake detection, anomaly detection, and multi-agent systems, which aligns with a Data Scientist role.
Experience with Python, a core language for data science and machine learning.
Exposure to Quantum Machine Learning (QML) indicates an interest in advanced and emerging data science techniques.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards innovative and cutting-edge AI/ML applications, which could indicate a good fit for a forward-thinking, research-oriented team. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit. The projects are diverse in application but primarily personal, limiting insight into collaborative work.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

cert-site

May 19, 2026 – Present

cert-site — GitHub repository

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hybrid-rag-pipeline

March 31, 2026 – Present

hybrid-rag-pipeline — GitHub repository

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CodaAI-Personal-Assistant

March 30, 2026 – Present

CodaAI-Personal-Assistant — GitHub repository

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Citrus-canker-detection

March 26, 2026 – Present

Citrus-canker-detection — GitHub repository

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chitfundpro

March 20, 2026 – Present

chitfundpro — GitHub repository

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PPT-ranker

February 11, 2026 – Present

A Presentation ranker based on Criteria document stating the criteria. Uses Multi-agent framework to assign agents on each section of the ranking process. States the weakness of the product , review and an brief analysis of the ranking analysis

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multi-agent-content-generation-pipeline

February 8, 2026 – Present

Agentic Content Pipeline > An autonomous multi-agent system that transforms Product Requirements Documents (PRDs) into fact-checked, publication-ready blog posts.

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apology-repo

February 3, 2026 – Present

apology-repo — GitHub repository

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Anomaly-detection-in-finance-using-QML

January 28, 2026 – Present

Detecting anomalies in quant finance using Quantum machine learning

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HackIndia-Spark1-2025-DecentraMinds

March 1, 2025 – March 1, 2025

This project uses AI to detect deepfakes and verify digital content (images, audio, text, and video). Results are stored on the blockchain for transparency, ensuring content integrity. Users can also mint verified content as NFTs, promoting trust in digital media.

View Project

Key Strengths

Demonstrated interest and project experience in AI/ML, particularly in deepfake detection, anomaly detection, and multi-agent systems, which aligns with a Data Scientist role.
Experience with Python, a core language for data science and machine learning.
Exposure to Quantum Machine Learning (QML) indicates an interest in advanced and emerging data science techniques.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Prasanth Selvamurugan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit