Shreya Navnath Chavan

Data Scientist

https://talent.gravityer.com/shreya-navnath-chavan

💻 Coding Enthusiast | 🌐 Exploring Tech

India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python, Jupyter Notebook, and various AI/ML frameworks (TensorFlow, Keras, PyTorch) as evidenced by project technologies.
Projects cover diverse areas within AI/ML, including predictive modeling (employee attrition, freight cost), image processing (Visual-Encryption), and Generative AI (Medical-Chatboat).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards AI/ML and data-driven solutions, which aligns well with a Data Scientist role. The diversity of projects (healthcare, environmental, HR, finance) suggests adaptability and a broad interest in applying data science to different domains. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural integration.

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

EcoSmart-AI

May 9, 2026 – Present

An AI-powered environmental monitoring and waste management system .

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Visual-Encryption

May 8, 2026 – Present

Implementation of XOR-based image encryption and visual security techniques using Java.

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employee-attrition-prediction

May 8, 2026 – Present

employee-attrition-prediction — GitHub repository

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vendor-invoice-intelligence-system

April 26, 2026 – Present

AI-Driven Freight Cost Prediction & Invoice Risk Flagging

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ANN-Practicals

April 14, 2026 – Present

A collection of Artificial Neural Network practical implementations using Python, TensorFlow, Keras, and PyTorch. The repository covers fundamental neural network concepts including Perceptron, McCulloch-Pitts Model, Backpropagation, CNN, Hopfield Network, ART Network, BAM, XOR problem, MNIST digit recognition, and deep learning techniques.

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Vendor-Performance-Analysis

March 19, 2026 – Present

Vendor-Performance-Analysis — GitHub repository

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Medical-Chatboat-using-GenAI

March 16, 2026 – Present

Medical-Chatboat-using-GenAI — GitHub repository

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Data-Science-Practicals

February 12, 2026 – Present

Data-Science-Practicals — GitHub repository

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DonorPulse

April 5, 2025 – April 5, 2025

DonorPulse — GitHub repository

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Blood-Donation-Management-System-Through-Machine-Learning

June 22, 2024 – December 24, 2024

Java Fullstack Desktop Application : Blood Donation Management System Through Linear Regression.

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with Python, Jupyter Notebook, and various AI/ML frameworks (TensorFlow, Keras, PyTorch) as evidenced by project technologies.
Projects cover diverse areas within AI/ML, including predictive modeling (employee attrition, freight cost), image processing (Visual-Encryption), and Generative AI (Medical-Chatboat).

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.

Shreya Navnath Chavan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit