Idhaya

Data Scientist

https://talent.gravityer.com/idhaya

Chennai, Tamil Nadu, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Data Science through personal projects like 'AAI-GlobalBootCamp', 'sentence_similarity', 'customer_segmentation', 'Upgrad', and 'fraud_detection'.
Experience with Jupyter Notebook and Python for data science tasks.
Practical application of machine learning concepts in fraud detection and customer segmentation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a self-driven learning approach in data science, which aligns with a culture of continuous improvement. The diversity of projects, from bootcamps to specific applications like fraud detection, indicates a broad interest within the data science domain. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess collaborative fit.

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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Projects

sap-fiori-ui5

September 11, 2025 – September 11, 2025

sap-fiori-ui5 — GitHub repository

View Project

desgin_at

July 11, 2023 – July 11, 2023

desgin_at — GitHub repository

View Project

AAI-GlobalBootCamp

July 29, 2022 – July 29, 2022

Assginements for Data science bootcamp

View Project

sentence_similarity

July 23, 2022 – July 23, 2022

API to check the sentence similarity between two sentences

View Project

customer_segmentation

March 2, 2022 – March 3, 2022

Customer Segmentation

View Project

Upgrad

January 11, 2022 – May 18, 2022

Case Studies and assignments from upgrad

View Project

hugo_repo

December 31, 2021 – December 31, 2021

hugo_repo — GitHub repository

View Project

fraud_detection

November 24, 2021 – November 26, 2021

Building machine learning model for fraud detection

View Project

Key Strengths

Demonstrated interest in Data Science through personal projects like 'AAI-GlobalBootCamp', 'sentence_similarity', 'customer_segmentation', 'Upgrad', and 'fraud_detection'.
Experience with Jupyter Notebook and Python for data science tasks.
Practical application of machine learning concepts in fraud detection and customer segmentation.

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.

Idhaya

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit