Meghna P Ayyar

Data Scientist

https://talent.gravityer.com/meghna-p-ayyar

Bordeaux, Nouvelle-Aquitaine, FranceMember since June 19, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'Interpreting-and-Comparing-CNN' and 'Explain-to-Train'.
Experience with Python, a core language for Data Science.
Exposure to Computer Vision concepts (CNNs, Face Detection, Video Sequencing Analysis).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate an interest in research-oriented topics within AI/ML. The diversity of technologies used across projects (Python, JavaScript, HTML, C++, Ruby) indicates a broad technical curiosity. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural alignment with a typical organizational setting. The projects align with a Data Scientist role, particularly those focused on research or advanced model interpretation.

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

rfem

March 13, 2026 – Present

rfem — GitHub repository

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local-rag-assistance

January 14, 2026 – Present

local-rag-assistance — GitHub repository

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mayyar.github.io

December 8, 2025 – December 11, 2025

mayyar.github.io — GitHub repository

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Explain-to-Train

November 12, 2024 – November 12, 2024

This repository is the project page for our work ET: Explain to Train

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Interpreting-and-Comparing-CNN

December 9, 2020 – January 11, 2022

This repository contains the code for Interpreting and Understanding Convolutional Neural Networks using the human recognize able visual concepts and Integrated Gradients. The research work has been developed in the 2nd phase of the research development project in Image processing and computer vision program.

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B-Splines

October 22, 2020 – October 22, 2020

A repository of codes and report detailing the study in B-splines

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IPCV-Applied_Video_Sequencing_Analysis

October 18, 2020 – October 18, 2020

IPCV-Applied_Video_Sequencing_Analysis — GitHub repository

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GLTF_Streamer

October 4, 2020 – October 9, 2020

Stream GLTF files from the server to Unreal directly at runtime.

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Face-Detector-

February 21, 2018 – February 22, 2018

Using Haar Detector with OpenCV and Python

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PQusic

August 27, 2016 – March 8, 2018

A Music playlist app

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'Interpreting-and-Comparing-CNN' and 'Explain-to-Train'.
Experience with Python, a core language for Data Science.
Exposure to Computer Vision concepts (CNNs, Face Detection, Video Sequencing Analysis).

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.

Meghna P Ayyar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit