AbhayShinde

Data Scientist

https://www.opentalent.in/abhayshinde

GSOC'25 @deepchem

MumbaiMember since June 12, 2026

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through projects like 'Symplectic_RNN', 'Toxicity-prediction', 'PaintBrush_AI', and 'Hamiltonian_Neural_Network'.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to various ML/DL concepts including RNNs, object detection (YOLOv5), and neural networks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong self-driven learning attitude and curiosity in advanced ML/DL topics. The diversity of projects, from web apps to core ML implementations, suggests adaptability. However, without professional experience or team-based projects, assessing collaboration and broader cultural fit is limited.

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

Symplectic_RNN

January 5, 2026 – Present

implementation of Symplectic RNN model

View Project

Leapfrog_Integrator

December 21, 2025 – Present

Implementation of leapfrog integrator

View Project

Hamiltonian_Neural_Network

November 1, 2025 – November 13, 2025

Minimal Implementation of HNN

View Project

EnvArena-Web

September 19, 2025 – September 22, 2025

Landing page for EnvArena

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SnailIO

August 5, 2025 – August 6, 2025

Implementation of basic functionality of asyncio

View Project

Toxicity-prediction

January 12, 2025 – January 13, 2025

Toxicity-prediction — GitHub repository

View Project

yolov5_speed_bumps

December 15, 2024 – April 24, 2025

Webapp for object detection ( speed-bumps )

View Project

PaintBrush_AI

November 13, 2024 – Present

Neural Alchemy: Blending Content and Style

View Project

XYZ

September 13, 2024 – September 14, 2024

XYZ — GitHub repository

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2D_Runner_game

January 4, 2024 – March 23, 2025

2D runner game made with pygame

View Project

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through projects like 'Symplectic_RNN', 'Toxicity-prediction', 'PaintBrush_AI', and 'Hamiltonian_Neural_Network'.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Exposure to various ML/DL concepts including RNNs, object detection (YOLOv5), and neural networks.

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.

AbhayShinde

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit