Parvati Jayakumar

Data Scientist

https://talent.gravityer.com/parvati-jayakumar

Bengaluru, Karnataka, IndiaMember since June 19, 2026

Key Strengths

Demonstrated interest in Machine Learning and AI through multiple personal projects.
Experience with Python, Jupyter Notebook, and Azure ML for operationalizing machine learning models.
Projects indicate exposure to various ML tasks including computer vision (face recognition, number plate detection) and natural language processing (ASR/TTS).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, indicating a strong interest in self-driven learning and exploration within AI/ML. However, the lack of team-based or open-source contributions (beyond 'Decredo' with no listed technologies) makes it difficult to assess collaboration or broader cultural fit. The experience level is 0, suggesting a junior profile, which might not align with a senior Data Scientist role without significant upskilling.

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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Assessing your cultural and operational fit

Projects

Decredo

August 24, 2025 – August 24, 2025

Open-source AI legal assistant designed to make law accessible, understandable, and actionable for everyone.

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VAP-biomarker-analysis

March 5, 2025 – May 12, 2025

VAP-biomarker-analysis — GitHub repository

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Hindi-ASR-and-TTS

January 23, 2022 – June 25, 2023

EC499: Major Project

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Footstep-Voice-Identification

October 20, 2021 – October 20, 2021

MiiCare (Technical test): Detect the footstep

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Machine-Learning-with-Titanic-dataset-on-Azure

January 20, 2021 – September 14, 2021

Capstone project of Udacity's nanodegree; Working with Kaggle's Titanic dataset.

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Operationalizing-Machine-Learning

January 14, 2021 – January 15, 2021

Microsoft Azure is used to configure a cloud-based machine learning production model, deploy it, and consume it. Also, a Machine Learning Pipeline has been created, published, and consumed using Python SDK.

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Optimizing-ML-pipelines-in-Azure

January 7, 2021 – January 23, 2021

Create and optimize ML pipelines using two methods in Azure: Traditional and Automated.

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Automatic-Number-plate-detection-for-Indian-vehicles

November 27, 2020 – September 14, 2021

EC351: Introduction to Algorithms

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FaceNet_FR

July 12, 2019 – April 18, 2025

A simple face recognition model using pretrained FaceNet model.

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Facenet_FR

July 7, 2019 – July 6, 2023

Face Recognition using Facenet Model in pytorch

View Project

Key Strengths

Demonstrated interest in Machine Learning and AI through multiple personal projects.
Experience with Python, Jupyter Notebook, and Azure ML for operationalizing machine learning models.
Projects indicate exposure to various ML tasks including computer vision (face recognition, number plate detection) and natural language processing (ASR/TTS).

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.

Parvati Jayakumar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit